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Torch7

Appears in 5 awesome lists

Scientific computing framework with wide support for machine learning algorithms, used by Facebook, Google, and more.

Open torch.ch

Found in these lists

Awesome Deep Learning

Section: Frameworks

SlowScore 59

Awesome Lua

Section: Math and Scientific Computing · Scientific computing framework with wide support for machine learning algorithms, used by Facebook, Google, and more.

StaleScore 52

Awesome Machine Learning

Section: Lua

FreshScore 93

Machine Learning for iOS

Section: On-Device training and inference · is a scientific computing framework with wide support for machine learning algorithms.

StaleScore 45

Machine Learning & Deep Learning Tutorials

Section: Deep Learning

StaleScore 57

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

TensorFlow-Slim

Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.

In 12 listsDetails

Karate Club

Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.

In 7 listsDetails

CNTK

The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

In 6 listsDetails

lightly

MoCo, SimCLR, SimSiam, Barlow Twins, BYOL, NNCLR. vissl - Self-Supervised Learning with PyTorch: RotNet, Jigsaw, NPID, ClusterFit, PIRL, SimCLR, MoCo, DeepCluster, SwAV.

In 6 listsDetails

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.

In 6 listsDetails