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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

accelerated_computing

ai_lecture

algorithm

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

autotrain-advanced

🤗 AutoTrain Advanced

blog_comments

computer_languages

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

draggan

Official Code for DragGAN (SIGGRAPH 2023)

evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

huggingface_hub

All the open source things related to the Hugging Face Hub.

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

optuna

A hyperparameter optimization framework

polyglot

:abc: Multilingual and i18n support tool for Jekyll Blogs

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

safetensors

Simple, safe way to store and distribute tensors

scikit-learn

scikit-learn: machine learning in Python

so-simple-theme

A simple Jekyll theme for words and pictures.

tensorflow

An Open Source Machine Learning Framework for Everyone

text-generation-inference

Large Language Model Text Generation Inference

the-algorithm

Source code for Twitter's Recommendation Algorithm

theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara