Repository Index

🤗 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.

• nlp
• natural-language-processing
• pytorch
• pytorch-transformers

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

• pytorch
• resnet
• pretrained-models
• pretrained-weights

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Deezer source separation library including pretrained models.

• deezer
• python
• tensorflow
• audio-processing

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

TranslatedThe official repo of Qwen chat & pretrained large language model proposed by Alibaba Cloud.

• chinese
• large-language-models
• natural-language-processing
• flash-attention

An open source implementation of CLIP.

• deep-learning
• pytorch
• computer-vision
• language-model

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

• nlp
• embedding
• bert
• ernie

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

• segmentation
• image-processing
• pspnet
• unet

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

• bloom
• deep-learning
• distributed-systems
• language-models

Superduper: End-to-end framework for building custom AI applications and agents.

• ai
• mlops
• torch
• transformers

Pretrained model hub for Keras 3.

• deep-learning
• keras
• machine-learning
• nlp

Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"

• audio
• audio-classification
• audio-processing
• audio-tagging

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

• deep-learning
• agriculture
• pytorch
• dataset

The PASS dataset: pretrained models and how to get the data

• computer-vision
• self-supervised-learning
• representation-learning