| huggingface/transformers |
119,240 |
|
64 |
2,484 |
about 2 years ago |
125 |
November 15, 2023 |
946 |
apache-2.0 |
Python |
| 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
| huggingface/pytorch-image-models |
28,526 |
|
1 |
346 |
about 2 years ago |
55 |
November 24, 2023 |
96 |
apache-2.0 |
Python |
| PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more |
| qubvel/segmentation_models.pytorch |
8,226 |
|
2 |
49 |
over 2 years ago |
13 |
September 19, 2019 |
27 |
mit |
Python |
| Segmentation models with pretrained backbones. PyTorch. |
| bigscience-workshop/petals |
8,040 |
|
0 |
1 |
over 2 years ago |
18 |
November 20, 2023 |
76 |
mit |
Python |
| 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading |
| OptimalScale/LMFlow |
7,589 |
|
0 |
0 |
about 2 years ago |
0 |
|
29 |
apache-2.0 |
Python |
| An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All. |
| mlfoundations/open_clip |
7,355 |
|
0 |
54 |
over 2 years ago |
42 |
October 24, 2023 |
130 |
other |
Jupyter Notebook |
| An open source implementation of CLIP. |
| lukemelas/EfficientNet-PyTorch |
6,577 |
|
7 |
36 |
over 4 years ago |
13 |
April 15, 2021 |
133 |
apache-2.0 |
Python |
| A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!) |
| facebookresearch/mmf |
5,357 |
|
0 |
0 |
about 2 years ago |
0 |
|
145 |
other |
Python |
| A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) |
| pyannote/pyannote-audio |
4,460 |
|
1 |
13 |
about 2 years ago |
24 |
December 01, 2023 |
95 |
mit |
Jupyter Notebook |
| Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding |
| huawei-noah/Efficient-AI-Backbones |
4,393 |
|
0 |
0 |
about 1 year ago |
0 |
|
71 |
|
Python |
| Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab. |