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Keras

Appears in 9 awesome lists

High-level, beginner-friendly API that now runs on multiple backends (TensorFlow, JAX, PyTorch). Perfect for rapid experimentation.

Open github.comkeras-team/keras

Found in these lists

Awesome Cloud Native

Section: AI & Machine Learning Platforms · Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.

FreshScore 87

Awesome Data Analysis

Section: Tools · High-level neural networks API, running on top of TensorFlow.

FreshScore 80

Awesome LLMOps

Section: Frameworks for Training · Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow.

ActiveScore 75

Awesome Machine Learning

Section: Python · High-level neural networks frontend for TensorFlow, CNTK and Theano.

FreshScore 93

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · High-level, beginner-friendly API that now runs on multiple backends (TensorFlow, JAX, PyTorch). Perfect for rapid experimentation.

FreshScore 89

Awesome Python

Section: Deep Learning · A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends.

FreshScore 94

Libraries and packages

Section: Data Science · The most user friendly Deep Learning for humans in Python

FreshScore 86

awesome-python

Section: Machine Learning Frameworks · Deep Learning for humans

FreshScore 81

Awesome Systematic Trading

Section: Fundamental libraries · | Python | - The most user friendly Deep Learning for humans in Python

FreshScore 89

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

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 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

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 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

scikit-learn

Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.

In 10 listsDetails

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

In 10 listsDetails