pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration.

Captum

Model interpretability and understanding for PyTorch.

pytorch text

Torch text related contents.

pytorch-seq2seq

A framework for sequence-to-sequence (seq2seq) models implemented in PyTorch.

anuvada

Interpretable Models for NLP using PyTorch.

audio

simple audio I/O for pytorch.

loop

A method to generate speech across multiple speakers

fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

speech

PyTorch ASR Implementation.

OpenNMT-py

Open-Source Neural Machine Translation in PyTorch http://opennmt.net

neuralcoref

State-of-the-art coreference resolution based on neural nets and spaCy huggingface.co/coref

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification.

MUSE

A library for Multilingual Unsupervised or Supervised word Embeddings

nmtpytorch

Neural Machine Translation Framework in PyTorch.

pytorch-wavenet

An implementation of WaveNet with fast generation

Tacotron-pytorch

Tacotron: Towards End-to-End Speech Synthesis.

AllenNLP

An open-source NLP research library, built on PyTorch.

PyTorch-NLP

Text utilities and datasets for PyTorch pytorchnlp.readthedocs.io

quick-nlp

Pytorch NLP library based on FastAI.

TTS

Deep learning for Text2Speech

LASER

Language-Agnostic SEntence Representations

pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

gensen

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.

translate

Translate - a PyTorch Language Library.

espnet

End-to-End Speech Processing Toolkit espnet.github.io/espnet

pythia

A software suite for Visual Question Answering

UnsupervisedMT

Phrase-Based & Neural Unsupervised Machine Translation.

jiant

The jiant sentence representation learning toolkit.

BERT-PyTorch

Pytorch implementation of Google AI's 2018 BERT, with simple annotation

InferSent

Sentence embeddings (InferSent) and training code for NLI.

uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization. arxiv.org/abs/1810.04719

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

pytext

A natural language modeling framework based on PyTorch fb.me/pytextdocs

voicefilter

Unofficial PyTorch implementation of Google AI's VoiceFilter system http://swpark.me/voicefilter

BERT-NER

Pytorch-Named-Entity-Recognition-with-BERT.

transfer-nlp

NLP library designed for flexible research and development

texar-pytorch

Toolkit for Machine Learning and Text Generation, in PyTorch texar.io

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

NeMo

Neural Modules: a toolkit for conversational AI nvidia.github.io/NeMo

pytorch-struct

A library of vectorized implementations of core structured prediction algorithms (HMM, Dep Trees, CKY, ..,)

espresso

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

transformers

huggingface Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. huggingface.co/transformers

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

torch-metrics

Metrics for model evaluation in pytorch

speechbrain

SpeechBrain is an open-source and all-in-one speech toolkit based on PyTorch.

Backprop

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

pytorch vision

Datasets, Transforms and Models specific to Computer Vision.

pt-styletransfer

Neural style transfer as a class in PyTorch.

OpenFacePytorch

PyTorch module to use OpenFace's nn4.small2.v1.t7 model

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

SparseConvNet

Submanifold sparse convolutional networks.

Convolution_LSTM_pytorch

A multi-layer convolution LSTM module

face-alignment

fire: 2D and 3D Face alignment library build using pytorch adrianbulat.com

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation.

RoIAlign.pytorch

This is a PyTorch version of RoIAlign. This implementation is based on crop_and_resize and supports both forward and backward on CPU and GPU.

pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch.

detectorch

Detectorch - detectron for PyTorch

Augmentor

Image augmentation library in Python for machine learning. http://augmentor.readthedocs.io

s2cnn

This library contains a PyTorch implementation of the SO(3) equivariant CNNs for spherical signals (e.g. omnidirectional cameras, signals on the globe)

TorchCV

A PyTorch-Based Framework for Deep Learning in Computer Vision.

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

image-classification-mobile

Collection of classification models pretrained on the ImageNet-1K.

medicaltorch

A medical imaging framework for Pytorch http://medicaltorch.readthedocs.io

albumentations

Fast image augmentation library.

kornia

Differentiable computer vision library.

pytorch-text-recognition

Text recognition combo - CRAFT + CRNN.

facenet-pytorch

Pretrained Pytorch face detection and recognition models ported from davidsandberg/facenet.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

vedaseg

A semantic segmentation framework by pyotrch

ClassyVision

An end-to-end PyTorch framework for image and video classification.

detecto

Computer vision in Python with less than 10 lines of code

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data pytorch3d.org

MMDetection

MMDetection is an open source object detection toolbox, a part of the OpenMMLab project.

neural-dream

A PyTorch implementation of the DeepDream algorithm. Creates dream-like hallucinogenic visuals.

FlashTorch

Visualization toolkit for neural networks in PyTorch!

Lucent

Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.

MMDetection3D

MMDetection3D is OpenMMLab's next-generation platform for general 3D object detection, a part of the OpenMMLab project.

MMSegmentation

MMSegmentation is a semantic segmentation toolbox and benchmark, a part of the OpenMMLab project.

MMEditing

MMEditing is a image and video editing toolbox, a part of the OpenMMLab project.

MMAction2

MMAction2 is OpenMMLab's next generation action understanding toolbox and benchmark, a part of the OpenMMLab project.

MMPose

MMPose is a pose estimation toolbox and benchmark, a part of the OpenMMLab project.

lightly

Lightly is a computer vision framework for self-supervised learning.

RoMa

a lightweight and efficient library to deal with 3D rotations.

ptstat

Probabilistic Programming and Statistical Inference in PyTorch

pyro

Deep universal probabilistic programming with Python and PyTorch http://pyro.ai

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch.

paysage

Unsupervised learning and generative models in python/pytorch.

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch.

pyprob

A PyTorch-based library for probabilistic programming and inference compilation.

mia

A library for running membership inference attacks against ML models.

pro_gan_pytorch

ProGAN package implemented as an extension of PyTorch nn.Module.

botorch

Bayesian optimization in PyTorch

pytorch extras

Some extra features for pytorch.

functional zoo

PyTorch, unlike lua torch, has autograd in it's core, so using modular structure of torch.nn modules is not necessary, one can easily allocate needed Variables and write a function that utilizes them, which is sometimes more convenient. This repo contains model definitions in this functional way,…

torch-sampling

This package provides a set of transforms and data structures for sampling from in-memory or out-of-memory data.

torchcraft-py

Python wrapper for TorchCraft, a bridge between Torch and StarCraft for AI research.

aorun

Aorun intend to be a Keras with PyTorch as backend.

logger

A simple logger for experiments.

PyTorch-docset

PyTorch docset! use with Dash, Zeal, Velocity, or LovelyDocs.

convert_torch_to_pytorch

Convert torch t7 model to pytorch model and source.

pretrained-models.pytorch

The goal of this repo is to help to reproduce research papers results.

pytorch_fft

PyTorch wrapper for FFTs

caffe_to_torch_to_pytorch

pytorch-extension

This is a CUDA extension for PyTorch which computes the Hadamard product of two tensors.

tensorboard-pytorch

This module saves PyTorch tensors in tensorboard format for inspection. Currently supports scalar, image, audio, histogram features in tensorboard.

gpytorch

GPyTorch is a Gaussian Process library, implemented using PyTorch. It is designed for creating flexible and modular Gaussian Process models with ease, so that you don't have to be an expert to use GPs.

spotlight

Deep recommender models using PyTorch.

pytorch-cns

Compressed Network Search with PyTorch

pyinn

CuPy fused PyTorch neural networks ops

inferno

A utility library around PyTorch

pytorch-fitmodule

Super simple fit method for PyTorch modules

inferno-sklearn

A scikit-learn compatible neural network library that wraps pytorch.

pytorch-caffe-darknet-convert

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

pytorch2caffe

Convert PyTorch model to Caffemodel

pytorch-tools

Tools for PyTorch

sru

Training RNNs as Fast as CNNs (arxiv.org/abs/1709.02755)

torch2coreml

Torch7 -> CoreML

PyTorch-Encoding

PyTorch Deep Texture Encoding Network http://hangzh.com/PyTorch-Encoding

pytorch-ctc

PyTorch-CTC is an implementation of CTC (Connectionist Temporal Classification) beam search decoding for PyTorch. C++ code borrowed liberally from TensorFlow with some improvements to increase flexibility.

candlegp

Gaussian Processes in Pytorch.

dpwa

Distributed Learning by Pair-Wise Averaging.

dni-pytorch

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch.

skorch

A scikit-learn compatible neural network library that wraps pytorch

ignite

Ignite is a high-level library to help with training neural networks in PyTorch.

Arnold

Arnold - DOOM Agent

pytorch-mcn

Convert models from MatConvNet to PyTorch

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN with competitive performance.

generative_zoo

generative_zoo is a repository that provides working implementations of some generative models in PyTorch.

pytorchviz

A small package to create visualizations of PyTorch execution graphs.

cogitare

Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework in Python.

pydlt

PyTorch based Deep Learning Toolbox

semi-supervised-pytorch

Implementations of different VAE-based semi-supervised and generative models in PyTorch.

pytorch_cluster

PyTorch Extension Library of Optimised Graph Cluster Algorithms.

neural-assembly-compiler

A neural assembly compiler for pyTorch based on adaptive-neural-compilation.

caffemodel2pytorch

Convert Caffe models to PyTorch.

extension-cpp

C++ extensions in PyTorch

pytoune

A Keras-like framework and utilities for PyTorch

jetson-reinforcement

Deep reinforcement learning libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

matchbox

Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.

torch-two-sample

A PyTorch library for two-sample tests

pytorch-summary

Model summary in PyTorch similar to model.summary() in Keras

mpl.pytorch

Pytorch implementation of MaxPoolingLoss.

scVI-dev

Development branch of the scVI project in PyTorch

apex

An Experimental PyTorch Extension(will be deprecated at a later point)

ELF

ELF: a platform for game research.

Torchlite

A high level library on top of(not only) Pytorch

joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation star2

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch.

bindsnet

A Python package used for simulating spiking neural networks (SNNs) on CPUs or GPUs using PyTorch

pro_gan_pytorch

ProGAN package implemented as an extension of PyTorch nn.Module.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

torchplus

Implements the + operator on PyTorch modules, returning sequences.

lagom

lagom: A light PyTorch infrastructure to quickly prototype reinforcement learning algorithms.

torchbearer

torchbearer: A model training library for researchers using PyTorch.

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch.

NALU

Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al arxiv.org/pdf/1808.00508.pdf

QuCumber

Neural Network Many-Body Wavefunction Reconstruction

magnet

Deep Learning Projects that Build Themselves http://magnet-dl.readthedocs.io/

opencv_transforms

OpenCV implementation of Torchvision's image augmentations

fastai

The fast.ai deep learning library, lessons, and tutorials

pytorch-dense-correspondence

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation" arxiv.org/pdf/1806.08756.pdf

colorization-pytorch

PyTorch reimplementation of Interactive Deep Colorization richzhang.github.io/ideepcolor

beauty-net

A simple, flexible, and extensible template for PyTorch. It's beautiful.

OpenChem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research mariewelt.github.io/OpenChem

torchani

Accurate Neural Network Potential on PyTorch aiqm.github.io/torchani

PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch.

hessian

hessian in pytorch.

vel

Velocity in deep-learning research.

nonechucks

Skip bad items in your PyTorch DataLoader, use Transforms as Filters, and more!

torchstat

Model analyzer in PyTorch.

QNNPACK

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

redner

A differentiable Monte Carlo path tracer

pixyz

a library for developing deep generative models in a more concise, intuitive and extendable way.

euclidesdb

A multi-model machine learning feature embedding database http://euclidesdb.readthedocs.io

pytorch2keras

Convert PyTorch dynamic graph to Keras model.

salad

Semi-Supervised Learning and Domain Adaptation.

netharn

Parameterized fit and prediction harnesses for pytorch.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks. http://dgl.ai.

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. gandissect.csail.mit.edu

delira

Lightweight framework for fast prototyping and training deep neural networks in medical imaging delira.rtfd.io

mushroom

Python library for Reinforcement Learning experiments.

Xlearn

Transfer Learning Library

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

vegans

A library providing various existing GANs in PyTorch.

torchgeometry

TGM: PyTorch Geometry

AdverTorch

A Toolbox for Adversarial Robustness (attack/defense/training) Research

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.a

fenchel-young-losses

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

pytorch-OpCounter

Count the FLOPs of your PyTorch model.

Tor10

A Generic Tensor-Network library that is designed for quantum simulation, base on the pytorch.

Catalyst

High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.

Ax

Adaptive Experimentation Platform

pywick

High-level batteries-included neural network training library for Pytorch

torchgpipe

A GPipe implementation in PyTorch torchgpipe.readthedocs.io

hub

Pytorch Hub is a pre-trained model repository designed to facilitate research reproducibility.

pytorch-lightning

Rapid research framework for Pytorch. The researcher's version of keras.

tensorwatch

Debugging, monitoring and visualization for Deep Learning and Reinforcement Learning from Microsoft Research.

wavetorch

Numerically solving and backpropagating through the wave equation arxiv.org/abs/1904.12831

diffdist

diffdist is a python library for pytorch. It extends the default functionality of torch.autograd and adds support for differentiable communication between processes.

torchprof

A minimal dependency library for layer-by-layer profiling of Pytorch models.

osqpth

The differentiable OSQP solver layer for PyTorch.

mctorch

A manifold optimization library for deep learning.

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition using the Hessian-vector product and stochastic power iteration.

MinkowskiEngine

Minkowski Engine is an auto-diff library for generalized sparse convolutions and high-dimensional sparse tensors.

pytorch-cpp-rl

PyTorch C++ Reinforcement Learning

pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

argus-tensor-stream

A library for real-time video stream decoding to CUDA memory tensorstream.argus-ai.com

macarico

learning to search in pytorch

rlpyt

Reinforcement Learning in PyTorch

pywarm

A cleaner way to build neural networks for PyTorch. blue-season.github.io/pywarm

learn2learn

PyTorch Meta-learning Framework for Researchers http://learn2learn.net

torchbeast

A PyTorch Platform for Distributed RL

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Torchelie

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch. torchelie.readthedocs.org

CrypTen

CrypTen is a Privacy Preserving Machine Learning framework written using PyTorch that allows researchers and developers to train models using encrypted data. CrypTen currently supports Secure multi-party computation as its encryption mechanism.

cvxpylayers

cvxpylayers is a Python library for constructing differentiable convex optimization layers in PyTorch

RepDistiller

Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

kaolin

PyTorch library aimed at accelerating 3D deep learning research

PySNN

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration.

sparktorch

Train and run Pytorch models on Apache Spark.

pytorch-metric-learning

The easiest way to use metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

flambe

An ML framework to accelerate research and its path to production. flambe.ai

pytorch-optimizer

Collections of modern optimization algorithms for PyTorch, includes: AccSGD, AdaBound, AdaMod, DiffGrad, Lamb, RAdam, RAdam, Yogi.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

Pytorch Geometric Temporal

A temporal extension library for PyTorch Geometric

Poutyne

A Keras-like framework for PyTorch that handles much of the boilerplating code needed to train neural networks.

Pytorch-Toolbox

This is toolbox project for Pytorch. Aiming to make you write Pytorch code more easier, readable and concise.

Pytorch-contrib

It contains reviewed implementations of ideas from recent machine learning papers.

EfficientNet PyTorch

It contains an op-for-op PyTorch reimplementation of EfficientNet, along with pre-trained models and examples.

PyTorch/XLA

PyTorch/XLA is a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs.

webdataset

WebDataset is a PyTorch Dataset (IterableDataset) implementation providing efficient access to datasets stored in POSIX tar archives.

volksdep

volksdep is an open-source toolbox for deploying and accelerating PyTorch, Onnx and Tensorflow models with TensorRT.

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. StudioGAN aims to offer an identical playground for modern GANs so that machine learning researchers can readily compare and analyze a…

torchdrift

drift detection library

accelerate

A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

lightning-transformers

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

Flower

A unified approach to federated learning, analytics, and evaluation. It allows to federated any machine learning workload.

lightning-flash

Flash is a collection of tasks for fast prototyping, baselining and fine-tuning scalable Deep Learning models, built on PyTorch Lightning.

Pytorch Geometric Signed Directed

A signed and directed extension library for PyTorch Geometric.

Koila

A simple wrapper around pytorch that prevents CUDA out of memory issues.

Renate

A library for real-world continual learning.

ANEE

Adaptive Neural Execution Engine for PyTorch transformers. Provides per-token dynamic layer skipping, profiler-based gating, and KV-cache-safe sparse inference.

Practical Pytorch

Tutorials explaining different RNN models

DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning, with an emphasis on Natural Language Processing.

pytorch-tutorial

tutorial for researchers to learn deep learning with pytorch.

pytorch-exercises

pytorch-exercises collection.

pytorch tutorials

Various pytorch tutorials.

pytorch examples

A repository showcasing examples of using pytorch

pytorch practice

Some example scripts on pytorch.

pytorch mini tutorials

Minimal tutorials for PyTorch adapted from Alec Radford's Theano tutorials.

pytorch text classification

A simple implementation of CNN based text classification in Pytorch

cats vs dogs

Example of network fine-tuning in pytorch for the kaggle competition Dogs vs. Cats Redux: Kernels Edition. Currently #27 (0.05074) on the leaderboard.

convnet

This is a complete training example for Deep Convolutional Networks on various datasets (ImageNet, Cifar10, Cifar100, MNIST).

pytorch-generative-adversarial-networks

simple generative adversarial network (GAN) using PyTorch.

pytorch containers

This repository aims to help former Torchies more seamlessly transition to the "Containerless" world of PyTorch by providing a list of PyTorch implementations of Torch Table Layers.

T-SNE in pytorch

t-SNE experiments in pytorch

AAE_pytorch

Adversarial Autoencoders (with Pytorch).

Kind_PyTorch_Tutorial

Kind PyTorch Tutorial for beginners.

pytorch-poetry-gen

a char-RNN based on pytorch.

pytorch-REINFORCE

PyTorch implementation of REINFORCE, This repo supports both continuous and discrete environments in OpenAI gym.

PyTorch-Tutorial

Build your neural network easy and fast https://morvanzhou.github.io/tutorials/

pytorch-intro

A couple of scripts to illustrate how to do CNNs and RNNs in PyTorch

pytorch-classification

A unified framework for the image classification task on CIFAR-10/100 and ImageNet.

pytorch_notebooks - hardmaru

Random tutorials created in NumPy and PyTorch.

pytorch_tutoria-quick

Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.

Pytorch_fine_tuning_Tutorial

A short tutorial on performing fine tuning or transfer learning in PyTorch.

pytorch_exercises

pytorch-exercises

traffic-sign-detection

nyu-cv-fall-2017 example

mss_pytorch

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo: js-mim.github.io/mss_pytorch

DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ: NLP with Deep Learning)

Mila introductory tutorials

Various tutorials given for welcoming new students at MILA.

pytorch.rl.learning

for learning reinforcement learning using PyTorch.

minimal-seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

tensorly-notebooks

Tensor methods in Python with TensorLy tensorly.github.io/dev

pytorch_bits

time-series prediction related examples.

skip-thoughts

An implementation of Skip-Thought Vectors in PyTorch.

video-caption-pytorch

pytorch code for video captioning.

Capsule-Network-Tutorial

Pytorch easy-to-follow Capsule Network tutorial.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch" item.jd.com/17915495606.html

RL-Adventure

Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code.

accelerated_dl_pytorch

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II.

RL-Adventure-2

PyTorch4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)

adversarial-autoencoders-with-pytorch

transfer learning using pytorch

how-to-implement-a-yolo-object-detector-in-pytorch

pytorch-for-recommenders-101

pytorch-for-numpy-users

PyTorch Tutorial

PyTorch Tutorials in Chinese.

grokking-pytorch

The Hitchiker's Guide to PyTorch

PyTorch-Deep-Learning-Minicourse

Minicourse in Deep Learning with PyTorch.

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

Multiplicative LSTM for sequence-based Recommenders

deeplearning.ai-pytorch

PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization.

MNIST_Pytorch_python_and_capi

This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0

torch_light

Tutorials and examples include Reinforcement Training, NLP, CV

portrain-gan

torch code to decode (and almost encode) latents from art-DCGAN's Portrait GAN.

mri-analysis-pytorch

MRI analysis using PyTorch and MedicalTorch

cifar10-fast

Demonstration of training a small ResNet on CIFAR10 to 94% test accuracy in 79 seconds as described in this blog series.

Intro to Deep Learning with PyTorch

A free course by Udacity and facebook, with a good intro to PyTorch, and an interview with Soumith Chintala, one of the original authors of PyTorch.

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more.

CIFAR-ZOO

Pytorch implementation for multiple CNN architectures and improve methods with state-of-the-art results.

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

thinking-in-tensors-writing-in-pytorch

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro).

NER-BERT-pytorch

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

pytorch-sync-batchnorm-example

How to use Cross Replica / Synchronized Batchnorm in Pytorch.

SentimentAnalysis

Sentiment analysis neural network trained by fine tuning BERT on the Stanford Sentiment Treebank, thanks to Hugging Face's Transformers library.

pytorch-cpp

C++ implementations of PyTorch tutorials for deep learning researchers (based on the Python tutorials from pytorch-tutorial).

Deep Learning with PyTorch: Zero to GANs

Interactive and coding-focused tutorial series on introduction to Deep Learning with PyTorch (video).

Deep Learning with PyTorch

Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch, the book includes a case study: building an algorithm capable of detecting malignant lung tumors using CT scans.

Serverless Machine Learning in Action with PyTorch and AWS

Serverless Machine Learning in Action is a guide to bringing your experimental PyTorch machine learning code to production using serverless capabilities from major cloud providers like AWS, Azure, or GCP.

LabML NN

A collection of PyTorch implementations of neural networks architectures and algorithms with side-by-side notes.

Run your PyTorch Example Fedarated with Flower

This example demonstrates how an already existing centralized PyTorch machine learning project can be federated with Flower. A Cifar-10 dataset is used together with a convolutional neural network (CNN).

The Math Behind Artificial Intelligence

A free FreeCodeCamp book teaching the math behind AI in plain English from an engineering point of view. It covers linear algebra, calculus, probability & statistics, and optimization theory with analogies, real-life applications, and Python code examples.

QuiddityML

The Duolingo of machine learning: short lessons, 11 types of hands-on exercises on the skills the job needs, spaced repetition so you don't forget what you learned, and a clear beginner-to-advanced roadmap covering Python, PyTorch, math for ML, ML foundations, NLP, vision, and more.

google_evolution

This implements one of result networks from Large-scale evolution of image classifiers by Esteban Real, et. al.

pyscatwave

Fast Scattering Transform with CuPy/PyTorch,read the paper here

scalingscattering

Scaling The Scattering Transform : Deep Hybrid Networks.

deep-auto-punctuation

a pytorch implementation of auto-punctuation learned character by character.

Realtime_Multi-Person_Pose_Estimation

This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here .

PyTorch-value-iteration-networks

PyTorch implementation of the Value Iteration Networks (NIPS '16) paper

pytorch_Highway

Highway network implemented in pytorch.

pytorch_NEG_loss

NEG loss implemented in pytorch.

pytorch_RVAE

Recurrent Variational Autoencoder that generates sequential data implemented in pytorch.

pytorch_TDNN

Time Delayed NN implemented in pytorch.

eve.pytorch

An implementation of Eve Optimizer, proposed in Imploving Stochastic Gradient Descent with Feedback, Koushik and Hayashi, 2016.

e2e-model-learning

Task-based end-to-end model learning.

pix2pix-pytorch

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Single Shot MultiBox Detector

A PyTorch Implementation of Single Shot MultiBox Detector.

DiscoGAN

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

official DiscoGAN implementation

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks".

pytorch-es

This is a PyTorch implementation of Evolution Strategies .

piwise

Pixel-wise segmentation on VOC2012 dataset using pytorch.

pytorch-dqn

Deep Q-Learning Network in pytorch.

neuraltalk2-pytorch

image captioning model in pytorch(finetunable cnn in branch with_finetune)

vnet.pytorch

A Pytorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation.

pytorch-fcn

PyTorch implementation of Fully Convolutional Networks.

WideResNets

WideResNets for CIFAR10/100 implemented in PyTorch. This implementation requires less GPU memory than what is required by the official Torch implementation: https://github.com/szagoruyko/wide-residual-networks .

pytorch_highway_networks

Highway networks implemented in PyTorch.

pytorch-NeuCom

Pytorch implementation of DeepMind's differentiable neural computer paper.

captionGen

Generate captions for an image using PyTorch.

AnimeGAN

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Cnn-text classification

This is the implementation of Kim's Convolutional Neural Networks for Sentence Classification paper in PyTorch.

deepspeech2

Implementation of DeepSpeech2 using Baidu Warp-CTC. Creates a network based on the DeepSpeech2 architecture, trained with the CTC activation function.

seq2seq

This repository contains implementations of Sequence to Sequence (Seq2Seq) models in PyTorch

Asynchronous Advantage Actor-Critic in PyTorch

This is PyTorch implementation of A3C as described in Asynchronous Methods for Deep Reinforcement Learning. Since PyTorch has a easy method to control shared memory within multiprocess, we can easily implement asynchronous method like A3C.

densenet

This is a PyTorch implementation of the DenseNet-BC architecture as described in the paper Densely Connected Convolutional Networks by G. Huang, Z. Liu, K. Weinberger, and L. van der Maaten. This implementation gets a CIFAR-10+ error rate of 4.77 with a 100-layer DenseNet-BC with a growth rate of…

nninit

Weight initialization schemes for PyTorch nn.Modules. This is a port of the popular nninit for Torch7 by @kaixhin.

faster rcnn

This is a PyTorch implementation of Faster RCNN. This project is mainly based on py-faster-rcnn and TFFRCNN.For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks by Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun.

doomnet

PyTorch's version of Doom-net implementing some RL models in ViZDoom environment.

flownet

Pytorch implementation of FlowNet by Dosovitskiy et al.

sqeezenet

Implementation of Squeezenet in pytorch, #### pretrained models on CIFAR10 data to come Plan to train the model on cifar 10 and add block connections too.

WassersteinGAN

wassersteinGAN in pytorch.

optnet

This repository is by Brandon Amos and J. Zico Kolter and contains the PyTorch source code to reproduce the experiments in our paper OptNet: Differentiable Optimization as a Layer in Neural Networks.

qp solver

A fast and differentiable QP solver for PyTorch. Crafted by Brandon Amos and J. Zico Kolter.

Continuous Deep Q-Learning with Model-based Acceleration

Reimplementation of Continuous Deep Q-Learning with Model-based Acceleration.

Learning to learn by gradient descent by gradient descent

PyTorch implementation of Learning to learn by gradient descent by gradient descent.

fast-neural-style

pytorch implementation of fast-neural-style, The model uses the method described in Perceptual Losses for Real-Time Style Transfer and Super-Resolution along with Instance Normalization.

PytorchNeuralStyleTransfer

Implementation of Neural Style Transfer in Pytorch.

Fast Neural Style for Image Style Transform by Pytorch

Fast Neural Style for Image Style Transform by Pytorch .

neural style transfer

An introduction to PyTorch through the Neural-Style algorithm (https://arxiv.org/abs/1508.06576) developed by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge.

VIN_PyTorch_Visdom

PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.

YOLO2

YOLOv2 in PyTorch.

attention-transfer

Attention transfer in pytorch, read the paper here.

SVHNClassifier

A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks.

pytorch-deform-conv

PyTorch implementation of Deformable Convolution.

BEGAN-pytorch

PyTorch implementation of BEGAN: Boundary Equilibrium Generative Adversarial Networks.

treelstm.pytorch

Tree LSTM implementation in PyTorch.

AGE

Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky which can be found here

ResNeXt.pytorch

Reproduces ResNet-V3 (Aggregated Residual Transformations for Deep Neural Networks) with pytorch.

pytorch-rl

Deep Reinforcement Learning with pytorch & visdom

Deep-Leafsnap

LeafSnap replicated using deep neural networks to test accuracy compared to traditional computer vision methods.

pytorch-CycleGAN-and-pix2pix

PyTorch implementation for both unpaired and paired image-to-image translation.

A3C-PyTorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

pytorch-value-iteration-networks

Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)

PyTorch-Style-Transfer

PyTorch Implementation of Multi-style Generative Network for Real-time Transfer

pytorch-deeplab-resnet

pytorch-deeplab-resnet-model.

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet).

pytorch-dnc

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom.

pytorch_image_classifier

Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.

mnist-svhn-transfer

PyTorch Implementation of CycleGAN and SGAN for Domain Transfer (Minimal).

pytorch-yolo2

pytorch-yolo2

dni

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs".

pytorch-seq2seq-intent-parsing

Intent parsing and slot filling in PyTorch with seq2seq + attention

pyTorch_NCE

An implementation of the Noise Contrastive Estimation algorithm for pyTorch. Working, yet not very efficient.

molencoder

Molecular AutoEncoder in PyTorch

GAN-weight-norm

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

lgamma

Implementations of polygamma, lgamma, and beta functions for PyTorch

bigBatch

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

rl_a3c_pytorch

Reinforcement learning with implementation of A3C LSTM for Atari 2600.

pytorch-retraining

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

nmp_qc

Neural Message Passing for Computer Vision

grad-cam

Pytorch implementation of Grad-CAM

pytorch-trpo

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

pytorch-explain-black-box

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

vae_vpflows

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling https://jmtomczak.github.io/deebmed.html

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks) https://arxiv.org/pdf/1706.01427.pdf

vqa.pytorch

Visual Question Answering in Pytorch

end-to-end-negotiator

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

odin-pytorch

Principled Detection of Out-of-Distribution Examples in Neural Networks.

FreezeOut

Accelerate Neural Net Training by Progressively Freezing Layers.

ARAE

Code for the paper "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun.

forward-thinking-pytorch

Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time" https://arxiv.org/pdf/1706.02480.pdf

context_encoder_pytorch

PyTorch Implement of Context Encoders

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".https://github.com/thnkim/OpenFacePytorch

OpenFacePytorch

PyTorch module to use OpenFace's nn4.small2.v1.t7 model

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.

pytorch-nec

PyTorch Implementation of Neural Episodic Control (NEC)

seq2seq.pytorch

Sequence-to-Sequence learning using PyTorch

Pytorch-Sketch-RNN

a pytorch implementation of arxiv.org/abs/1704.03477

pytorch-pruning

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

DrQA

A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

YellowFin_Pytorch

auto-tuning momentum SGD optimizer

samplernn-pytorch

PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.

AEGeAN

Deeper DCGAN with AE stabilization

/pytorch-SRResNet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2

vsepp

Code for the paper "VSE++: Improved Visual Semantic Embeddings"

Pytorch-DPPO

Pytorch implementation of Distributed Proximal Policy Optimization: arxiv.org/abs/1707.02286

UNIT

PyTorch Implementation of our Coupled VAE-GAN algorithm for Unsupervised Image-to-Image Translation

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

tsn-pytorch

Temporal Segment Networks (TSN) in PyTorch.

SMASH

An experimental technique for efficiently exploring neural architectures.

pytorch-retinanet

RetinaNet in PyTorch

biogans

Implementation supporting the ICCV 2017 paper "GANs for Biological Image Synthesis".

Semantic Image Synthesis via Adversarial Learning

A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017.

fmpytorch

A PyTorch implementation of a Factorization Machine module in cython.

ORN

A PyTorch implementation of the paper "Oriented Response Networks" in CVPR 2017.

pytorch-maml

PyTorch implementation of MAML: arxiv.org/abs/1703.03400

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

vqa-winner-cvprw-2017

Pytorch Implementation of winner from VQA Chllange Workshop in CVPR'17.

tacotron_pytorch

PyTorch implementation of Tacotron speech synthesis model.

pspnet-pytorch

PyTorch implementation of PSPNet segmentation network

LM-LSTM-CRF

Empower Sequence Labeling with Task-Aware Language Model http://arxiv.org/abs/1709.04109

face-alignment

fire: 2D and 3D Face alignment library build using pytorch adrianbulat.com

DepthNet

PyTorch DepthNet Training on Still Box dataset.

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

e2c-pytorch

Embed to Control implementation in PyTorch.

3D-ResNets-PyTorch

3D ResNets for Action Recognition.

bandit-nmt

This is code repo for our EMNLP 2017 paper "Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback", which implements the A2C algorithm on top of a neural encoder-decoder model and benchmarks the combination under simulated noisy rewards.

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

zalando-pytorch

Various experiments on the Fashion-MNIST dataset from Zalando.

sphereface_pytorch

A PyTorch Implementation of SphereFace.

Categorical DQN

A PyTorch Implementation of Categorical DQN from A Distributional Perspective on Reinforcement Learning.

pytorch-ntm

pytorch ntm implementation.

mask_rcnn_pytorch

Mask RCNN in PyTorch.

graph_convnets_pytorch

PyTorch implementation of graph ConvNets, NIPS’16

pytorch-faster-rcnn

A pytorch implementation of faster RCNN detection framework based on Xinlei Chen's tf-faster-rcnn.

torchMoji

A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

pytorch-sgns

Skipgram Negative Sampling in PyTorch.

SfmLearner-Pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

deformable-convolution-pytorch

PyTorch implementation of Deformable Convolution.

skip-gram-pytorch

A complete pytorch implementation of skipgram model (with subsampling and negative sampling). The embedding result is tested with Spearman's rank correlation.

stackGAN-v2

Pytorch implementation for reproducing StackGAN_v2 results in the paper StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks by Han Zhang*, Tao Xu*, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas.

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning.

pygcn

Graph Convolutional Networks in PyTorch.

dnc

Differentiable Neural Computers, for Pytorch

prog_gans_pytorch_inference

PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot.

pytorch-capsule

Pytorch implementation of Hinton's Dynamic Routing Between Capsules.

PyramidNet-PyTorch

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, arxiv.org/abs/1610.02915)

radio-transformer-networks

A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer". arxiv.org/abs/1702.00832

honk

PyTorch reimplementation of Google's TensorFlow CNNs for keyword spotting.

DeepCORAL

A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

lang-emerge-parlai

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

pytorch_compact_bilinear_pooling v1

This repository has a pure Python implementation of Compact Bilinear Pooling and Count Sketch for PyTorch.

CompactBilinearPooling-Pytorch v2

(Yang Gao, et al.) A Pytorch Implementation for Compact Bilinear Pooling.

FewShotLearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

meProp

Codes for "meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting".

SFD_pytorch

A PyTorch Implementation of Single Shot Scale-invariant Face Detector.

GradientEpisodicMemory

Continuum Learning with GEM: Gradient Episodic Memory. https://arxiv.org/abs/1706.08840

DeblurGAN

Pytorch implementation of the paper DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks.

StarGAN

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Tranlsation.

CapsNet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules.

CondenseNet

CondenseNet: An Efficient DenseNet using Learned Group Convolutions.

deep-image-prior

Image restoration with neural networks but without learning.

deep-head-pose

Deep Learning Head Pose Estimation using PyTorch.

Random-Erasing

This code has the source code for the paper "Random Erasing Data Augmentation".

FaderNetworks

Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

FlowNet 2.0

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs tcwang0509.github.io/pix2pixHD

pytorch-smoothgrad

SmoothGrad implementation in PyTorch

RetinaNet

An implementation of RetinaNet in PyTorch.

faster-rcnn.pytorch

This project is a faster faster R-CNN implementation, aimed to accelerating the training of faster R-CNN object detection models.

mixup_pytorch

A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

pytorch-pose-hg-3d

PyTorch implementation for 3D human pose estimation

nmn-pytorch

Neural Module Network for VQA in Pytorch.

bytenet

Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper

bottom-up-attention-vqa

vqa, bottom-up-attention, pytorch

yolo2-pytorch

The YOLOv2 is one of the most popular one-stage object detector. This project adopts PyTorch as the developing framework to increase productivity, and utilize ONNX to convert models into Caffe 2 to benifit engineering deployment.

reseg-pytorch

PyTorch Implementation of ReSeg (arxiv.org/pdf/1511.07053.pdf)

binary-stochastic-neurons

Binary Stochastic Neurons in PyTorch.

pytorch-pose-estimation

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

interaction_network_pytorch

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics.

NoisyNaturalGradient

Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference".

ewc.pytorch

An implementation of Elastic Weight Consolidation (EWC), proposed in James Kirkpatrick et al. Overcoming catastrophic forgetting in neural networks 2016(10.1073/pnas.1611835114).

pytorch-zssr

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

deep_image_prior

An implementation of image reconstruction methods from Deep Image Prior (Ulyanov et al., 2017) in PyTorch.

pytorch-transformer

pytorch implementation of Attention is all you need.

DeepRL-Grounding

This is a PyTorch implementation of the AAAI-18 paper Gated-Attention Architectures for Task-Oriented Language Grounding

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (arxiv.org/pdf/1707.08110.pdf)

cat-net

Canonical Appearance Transformations

minimal_glo

Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"

LearningToCompare-Pytorch

Pytorch Implementation for Paper: Learning to Compare: Relation Network for Few-Shot Learning.

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations".

pytorch-trpo(Hessian-vector product version)

This is a PyTorch implementation of "Trust Region Policy Optimization (TRPO)" with exact Hessian-vector product instead of finite differences approximation.

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN).

visual-interaction-networks-pytorch

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

adversarial-patch

PyTorch implementation of adversarial patch.

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (arxiv.org/abs/1703.05175) in Pytorch

Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch

Implementation of Visual Feature Attribution using Wasserstein GANs (arxiv.org/abs/1711.08998) in PyTorch.

PhotographicImageSynthesiswithCascadedRefinementNetworks-Pytorch

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing".

Neural-IMage-Assessment

A PyTorch Implementation of Neural IMage Assessment.

proxprop

Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps.

FastPhotoStyle

A Closed-form Solution to Photorealistic Image Stylization

Deep-Image-Analogy-PyTorch

A python implementation of Deep-Image-Analogy based on pytorch.

Person-reID_pytorch

PyTorch for Person re-ID.

pt-dilate-rnn

Dilated RNNs in pytorch.

pytorch-i-revnet

Pytorch implementation of i-RevNets.

OrthNet

TensorFlow and PyTorch layers for generating Orthogonal Polynomials.

DRRN-pytorch

An implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017

shampoo.pytorch

An implementation of shampoo.

Neural-IMage-Assessment 2

A PyTorch Implementation of Neural IMage Assessment.

TCN

Sequence modeling benchmarks and temporal convolutional networks locuslab/TCN

DCC

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper.

packnet

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning arxiv.org/abs/1711.05769

PyTorch-progressive_growing_of_gans

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

nonauto-nmt

PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

PyTorchWavelets

PyTorch implementation of the wavelet analysis found in Torrence and Compo (1998)

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

VRNN

Pytorch implementation of the Variational RNN (VRNN), from A Recurrent Latent Variable Model for Sequential Data.

flow

Pytorch implementation of ICLR 2018 paper Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge.

deepvoice3_pytorch

PyTorch implementation of convolutional networks-based text-to-speech synthesis models

psmm

imlementation of the the Pointer Sentinel Mixture Model, as described in the paper by Stephen Merity et al.

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference.

AccSGD

Implements pytorch code for the Accelerated SGD algorithm.

QANet-pytorch

an implementation of QANet with PyTorch (EM/F1 = 70.5/77.2 after 20 epoches for about 20 hours on one 1080Ti card.)

ConvE

Convolutional 2D Knowledge Graph Embeddings

Structured-Self-Attention

Implementation for the paper A Structured Self-Attentive Sentence Embedding, which is published in ICLR 2017: arxiv.org/abs/1703.03130 .

graphsage-simple

Simple reference implementation of GraphSAGE.

Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

R2Plus1D-PyTorch

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

StackNN

A PyTorch implementation of differentiable stacks for use in neural networks.

translagent

Code for Emergent Translation in Multi-Agent Communication.

ban-vqa

Bilinear attention networks for visual question answering.

pytorch-openai-transformer-lm

This is a PyTorch implementation of the TensorFlow code provided with OpenAI's paper "Improving Language Understanding by Generative Pre-Training" by Alec Radford, Karthik Narasimhan, Tim Salimans and Ilya Sutskever.

T2F

Text-to-Face generation using Deep Learning. This project combines two of the recent architectures StackGAN and ProGAN for synthesizing faces from textual descriptions.

pytorch - fid

A Port of Fréchet Inception Distance (FID score) to PyTorch

CoordConv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (arxiv.org/pdf/1807.03247.pdf)

SDPoint

Implementation of "Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks", published in CVPR 2018.

SRDenseNet-pytorch

SRDenseNet-pytorch（ICCV_2017）

GAN_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Mask-RCNN

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch

pytorch-coviar

Compressed Video Action Recognition

PNASNet.pytorch

PyTorch implementation of PNASNet-5 on ImageNet.

NALU-pytorch

Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units arxiv.org/pdf/1808.00508.pdf

LOLA_DiCE

Pytorch implementation of LOLA (arxiv.org/abs/1709.04326) using DiCE (arxiv.org/abs/1802.05098)

generative-query-network-pytorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

pytorch_hmax

Implementation of the HMAX model of vision in PyTorch.

FCN-pytorch-easiest

trying to be the most easiest and just get-to-use pytorch implementation of FCN (Fully Convolotional Networks)

transducer

A Fast Sequence Transducer Implementation with PyTorch Bindings.

AVO-pytorch

Implementation of Adversarial Variational Optimization in PyTorch.

HCN-pytorch

A pytorch reimplementation of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.

binary-wide-resnet

PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnel (ICLR 2018)

piggyback

Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights arxiv.org/abs/1801.06519

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

poisson-convolution-sum

Implements an infinite sum of poisson-weighted convolutions

tbd-nets

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning" arxiv.org/abs/1803.05268

attn2d

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

yolov3

YOLOv3: Training and inference in PyTorch pjreddie.com/darknet/yolo

deep-dream-in-pytorch

Pytorch implementation of the DeepDream computer vision algorithm.

pytorch-flows

PyTorch implementations of algorithms for density estimation

quantile-regression-dqn-pytorch

Quantile Regression DQN a Minimal Working Example

relational-rnn-pytorch

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

DEXTR-PyTorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

PyTorch_GBW_LM

PyTorch Language Model for Google Billion Word Dataset.

Pytorch-NCE

The Noise Contrastive Estimation for softmax output written in Pytorch

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN.

convnet-aig

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs.

integrated-gradient-pytorch

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

MalConv-Pytorch

Pytorch implementation of MalConv.

trellisnet

Trellis Networks for Sequence Modeling

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

pytorch implementation of Learning to Communicate with Deep Multi-Agent Reinforcement Learning paper.

pnn.pytorch

PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html.

Face_Attention_Network

Pytorch implementation of face attention network as described in Face Attention Network: An Effective Face Detector for the Occluded Faces.

waveglow

A Flow-based Generative Network for Speech Synthesis.

deepfloat

This repository contains the SystemVerilog RTL, C++, HLS (Intel FPGA OpenCL to wrap RTL code) and Python needed to reproduce the numerical results in "Rethinking floating point for deep learning"

EPSR

Pytorch implementation of Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network. This work has won the first place in PIRM2018-SR competition (region 1) held as part of the ECCV 2018.

ClariNet

A Pytorch Implementation of ClariNet arxiv.org/abs/1807.07281

pytorch-pretrained-BERT

PyTorch version of Google AI's BERT model with script to load Google's pre-trained models

torch_waveglow

A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis.

3DDFA

The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

loss-landscape

loss-landscape Code for visualizing the loss landscape of neural nets.

famos

Pytorch implementation of the paper "Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization" available at http://arxiv.org/abs/1811.09236.

back2future.pytorch

This is a Pytorch implementation of Janai, J., Güney, F., Ranjan, A., Black, M. and Geiger, A., Unsupervised Learning of Multi-Frame Optical Flow with Occlusions. ECCV 2018.

FFTNet

Unofficial Implementation of FFTNet vocode paper.

FaceBoxes.PyTorch

A PyTorch Implementation of FaceBoxes.

Transformer-XL

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contexthttps://github.com/kimiyoung/transformer-xl

associative_compression_networks

Associative Compression Networks for Representation Learning.

fluidnet_cxx

FluidNet re-written with ATen tensor lib.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

This repository contains PyTorch implementations of deep reinforcement learning algorithms.

Shufflenet-v2-Pytorch

This is a Pytorch implementation of faceplusplus's ShuffleNet-v2.

GraphWaveletNeuralNetwork

This is a Pytorch implementation of Graph Wavelet Neural Network. ICLR 2019.

AttentionWalk

This is a Pytorch implementation of Watch Your Step: Learning Node Embeddings via Graph Attention. NIPS 2018.

SGCN

This is a Pytorch implementation of Signed Graph Convolutional Network. ICDM 2018.

SINE

This is a Pytorch implementation of SINE: Scalable Incomplete Network Embedding. ICDM 2018.

GAM

This is a Pytorch implementation of Graph Classification using Structural Attention. KDD 2018.

neural-style-pt

A PyTorch implementation of Justin Johnson's Neural-style.

TuckER

TuckER: Tensor Factorization for Knowledge Graph Completion.

pytorch-prunes

Pruning neural networks: is it time to nip it in the bud?

SimGNN

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation.

Character CNN

PyTorch implementation of the Character-level Convolutional Networks for Text Classification paper.

XLM

PyTorch original implementation of Cross-lingual Language Model Pretraining.

DiffAI

A provable defense against adversarial examples and library for building compatible PyTorch models.

APPNP

Combining Neural Networks with Personalized PageRank for Classification on Graphs. ICLR 2019.

NGCN

A Higher-Order Graph Convolutional Layer. NeurIPS 2018.

gpt-2-Pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

Splitter

Splitter: Learning Node Representations that Capture Multiple Social Contexts. (WWW 2019).

CapsGNN

Capsule Graph Neural Network. (ICLR 2019).

BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

ppo_pytorch_cpp

This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch.

RandWireNN

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition".

Zero-shot Intent CapsNet

GPU-accelerated PyTorch implementation of "Zero-shot User Intent Detection via Capsule Neural Networks".

SEAL-CI

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. (WWW 2019).

densebody_pytorch

PyTorch implementation of CloudWalk's recent paper DenseBody.

voicefilter

Unofficial PyTorch implementation of Google AI's VoiceFilter system http://swpark.me/voicefilter

NVIDIA/semantic-segmentation

A PyTorch Implementation of Improving Semantic Segmentation via Video Propagation and Label Relaxation, In CVPR2019.

ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

NVlabs/DG-Net

A PyTorch implementation of "Joint Discriminative and Generative Learning for Person Re-identification" (CVPR19 Oral).

NCRF

Cancer metastasis detection with neural conditional random field (NCRF)

pytorch-sift

PyTorch implementation of SIFT descriptor.

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI.

glow-pytorch

PyTorch implementation of Glow, Generative Flow with Invertible 1x1 Convolutions (arxiv.org/abs/1807.03039)

EfficientNets-PyTorch

A PyTorch implementation of EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

STEAL

STEAL - Learning Semantic Boundaries from Noisy Annotations nv-tlabs.github.io/STEAL

EigenDamage-Pytorch

Official implementation of the ICML'19 paper "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis".

Aspect-level-sentiment

Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening arxiv.org/abs/1903.08297

DGC-Net

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network".

universal-triggers

Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

simple-effective-text-matching-pytorch

A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

Adaptive-segmentation-mask-attack (ASMA)

A pytorch implementation of the MICCAI2019 paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation".

NVIDIA/unsupervised-video-interpolation

A PyTorch Implementation of Unsupervised Video Interpolation Using Cycle Consistency, In ICCV 2019.

Seg-Uncertainty

Unsupervised Scene Adaptation with Memory Regularization in vivo, In IJCAI 2020.

pulse

Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

distance-encoding

Distance-Encoding - Design Provably More PowerfulGNNs for Structural Representation Learning.

Pathfinder Discovery Networks

Pathfinder Discovery Networks for Neural Message Passing.

PyKEEN

A Python library for learning and evaluating knowledge graph embeddings.

SSSNET

Official implementation of the SDM2022 paper "SSSNET: Semi-Supervised Signed Network Clustering".

MagNet

Official implementation of the NeurIPS2021 paper "MagNet: A Neural Network for Directed Graphs".

Semantic Search

Latest in the field of neural information retrieval / semantic search.

FreeGrad

PyTorch library for custom backward passes, straight-through estimators and gradient transforms.

PyTorch Conference 2018

First PyTorch developer conference at 2018.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

generative models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch. http://wiseodd.github.io

pytorch vs tensorflow

an informative thread on reddit.

Pytorch discussion forum

pytorch notebook: docker-stack

A project similar to Jupyter Notebook Scientific Python Stack

drawlikebobross

Draw like Bob Ross using the power of Neural Networks (With PyTorch)!

pytorch-tvmisc

Totally Versatile Miscellanea for Pytorch

pytorch-a3c-mujoco

Implement A3C for Mujoco gym envs.

PyTorch in 5 Minutes

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pytorch_chatbot

A Marvelous ChatBot implemented using PyTorch.

malmo-challenge

Malmo Collaborative AI Challenge - Team Pig Catcher

sketchnet

A model that takes an image and generates Processing source code to regenerate that image

Deep-Learning-Boot-Camp

A nonprofit community run, 5-day Deep Learning Bootcamp http://deep-ml.com.

Amazon_Forest_Computer_Vision

Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks. kaggle competition.

AlphaZero_Gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

pytorch-cv

Repo for Object Detection, Segmentation & Pose Estimation.

deep-person-reid

Pytorch implementation of deep person re-identification approaches.

pytorch-template

PyTorch template project

Deep Learning With Pytorch TextBook

A practical guide to build neural network models in text and vision using PyTorch. Purchase on Amazon github code repo

compare-tensorflow-pytorch

Compare outputs between layers written in Tensorflow and layers written in Pytorch.

hasktorch

Tensors and neural networks in Haskell

Deep Learning with PyTorch

Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch, the book includes a case study: building an algorithm capable of detecting malignant lung tumors using CT scans.

nimtorch

PyTorch - Python + Nim

derplearning

Self Driving RC Car Code.

pytorch-saltnet

Kaggle | 9th place single model solution for TGS Salt Identification Challenge.

pytorch-scripts

A few Windows specific scripts for PyTorch.

pytorch_misc

Code snippets created for the PyTorch discussion board.

awesome-pytorch-scholarship

A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.

MentisOculi

A raytracer written in PyTorch (raynet?)

DoodleMaster

"Don't code your UI, Draw it !"

ocaml-torch

OCaml bindings for PyTorch.

extension-script

Example repository for custom C++/CUDA operators for TorchScript.

pytorch-inference

PyTorch 1.0 inference in C++ on Windows10 platforms.

pytorch-cpp-inference

Serving PyTorch 1.0 Models as a Web Server in C++.

tch-rs

Rust bindings for PyTorch.

TorchSharp

.NET bindings for the Pytorch engine

ML Workspace

All-in-one web IDE for machine learning and data science. Combines Jupyter, VS Code, PyTorch, and many other tools/libraries into one Docker image.

PyTorch Style Guide

Style guide for PyTorch code. Consistent and good code style helps collaboration and prevents errors!