Deep Learning Frameworks

Core deep learning training and inference frameworks — PyTorch, TensorFlow, JAX, and similar stacks.

213 projects

See methodology for ranking rules; order uses public GitHub metrics within this scenario.

201–213 of 213

Rank Project Stars Forks
201 TextBrewer

A PyTorch-based knowledge distillation toolkit for natural language processing

1.7K 243
202 knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

2.0K 353
203 detext

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

1.3K 135
204 textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

4.9K 731
205 tiny-dnn

header only, dependency-free deep learning framework in C++14

6.0K 1.4K
206 zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

2.2K 413
207 torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

1.4K 167
208 AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

1.2K 214
209 Tensorflow-Project-Template

A best practice for tensorflow project template architecture.

3.6K 790
210 sru

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

2.1K 304
211 performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

1.2K 148
212 graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

1.0K 150
213 Swift-AI

The Swift machine learning library.

6.0K 551
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