π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Chronos: Pretrained Models for Time Series Forecasting
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
The official CLI and Python client for the Hugging Face Hub.
An open source implementation of CLIP.
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets.
Silero Models: pre-trained text-to-speech models made embarrassingly simple
A treasure chest for visual classification and recognition powered by PaddlePaddle
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
The PyTorch-based audio source separation toolkit for researchers
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"
Discover pretrained models for deep learning in MATLAB
PyTorch Lightning Optical Flow models, scripts, and pretrained weights.
Pretrained text classifiers you can run and retrain on CPU