| huggingface/transformers |
119,240 |
|
64 |
2,484 |
over 2 years ago |
125 |
November 15, 2023 |
946 |
apache-2.0 |
Python |
| 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
| AUTOMATIC1111/stable-diffusion-webui |
118,856 |
|
0 |
0 |
over 2 years ago |
2 |
January 17, 2022 |
1,826 |
agpl-3.0 |
Python |
| Stable Diffusion web UI |
| pytorch/pytorch |
74,794 |
|
3,341 |
8,272 |
over 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 |
over 2 years ago |
87 |
December 06, 2023 |
183 |
apache-2.0 |
Python |
| Deep Learning for humans |
| CorentinJ/Real-Time-Voice-Cloning |
49,550 |
|
0 |
0 |
over 2 years ago |
0 |
|
187 |
other |
Python |
| Clone a voice in 5 seconds to generate arbitrary speech in real-time |
| chinese-poetry/chinese-poetry |
45,313 |
|
0 |
0 |
over 2 years ago |
0 |
|
104 |
mit |
JavaScript |
| The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。 |
| ultralytics/yolov5 |
44,755 |
|
0 |
2 |
over 2 years ago |
3 |
June 08, 2022 |
144 |
agpl-3.0 |
Python |
| YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite |
| 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, ... 🧠 |
| babysor/MockingBird |
36,869 |
|
0 |
0 |
5 months ago |
2 |
February 28, 2022 |
446 |
other |
Python |
| 🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time |
| huggingface/pytorch-image-models |
36,865 |
|
1 |
346 |
6 days ago |
55 |
November 24, 2023 |
96 |
apache-2.0 |
Python |
| The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more |
