A collective list of free APIs

Stable Diffusion web UI

Magnificent app which corrects your previous console command.

Models and examples built with TensorFlow

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

Focus on prompting and generating

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Let us control diffusion models!

PyTorch Tutorial for Deep Learning Researchers

A little bit about a linux kernel

Generative Models by Stability AI

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Open-Sora: Democratizing Efficient Video Production for All

Graph Neural Network Library for PyTorch

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

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Project documentation with Markdown.

WebUI extension for ControlNet

Datasets, Transforms and Models specific to Computer Vision

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Official inference repo for FLUX.1 models

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习