| pytorch/pytorch |
74,794 |
|
3,341 |
8,272 |
about 2 years ago |
39 |
November 15, 2023 |
13,261 |
other |
Python |
| Tensors and Dynamic neural networks in Python with strong GPU acceleration |
| keras-team/keras |
60,198 |
|
0 |
697 |
about 2 years ago |
87 |
December 06, 2023 |
183 |
apache-2.0 |
Python |
| Deep Learning for humans |
| labmlai/annotated_deep_learning_paper_implementations |
41,877 |
|
0 |
2 |
over 2 years ago |
79 |
November 05, 2023 |
30 |
mit |
Jupyter Notebook |
| 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 |
| yunjey/pytorch-tutorial |
27,137 |
|
0 |
0 |
over 2 years ago |
0 |
|
85 |
mit |
Python |
| PyTorch Tutorial for Deep Learning Researchers |
| lutzroeder/netron |
25,287 |
|
4 |
70 |
about 2 years ago |
610 |
December 09, 2023 |
27 |
mit |
JavaScript |
| Visualizer for neural network, deep learning and machine learning models |
| Tencent/ncnn |
18,693 |
|
0 |
1 |
about 2 years ago |
26 |
October 27, 2023 |
1,010 |
other |
C++ |
| ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| zergtant/pytorch-handbook |
18,594 |
|
0 |
0 |
over 2 years ago |
0 |
|
52 |
|
Jupyter Notebook |
| pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行 |
| onnx/onnx |
16,275 |
|
148 |
493 |
about 2 years ago |
31 |
October 26, 2023 |
296 |
apache-2.0 |
Python |
| Open standard for machine learning interoperability |
| bharathgs/Awesome-pytorch-list |
14,715 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
|
|
| A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. |
| tracel-ai/burn |
14,203 |
|
0 |
8 |
2 months ago |
15 |
December 04, 2023 |
145 |
apache-2.0 |
Rust |
| Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability. |
