Kronos is an open-source decoder-only foundation model pretrained on financial candlestick (K-line) sequences for market forecasting.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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.
Chronos: Pretrained Models for Time Series Forecasting
REKI: a 2.4B vision-language-action model pretrained on public data only, with a memory of its recent past at negligible cost.
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
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
The official CLI and Python client for the Hugging Face Hub.
An open source implementation of CLIP.
Tools for merging pretrained large language models.
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
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.
Pretrained model hub for Keras 3.
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)
PyTorch Lightning Optical Flow models, scripts, and pretrained weights.
A pretrained tabular foundation model for classification and regression by Nums AI Inc.
Pretrained text classifiers you can run and retrain on CPU
LightVAE: Fast video VAE decoders for Wan2.1, Wan2.2, and MiniMax-H3, plus a compressed H3 reference encoder. Pretrained weights and ComfyUI workflows.