AI open source rankings.

Curated list of awesome tools, demos, docs for ChatGPT and GPT-3

Readings in Databases

Awesome curated collection of images and prompts generated by GPT-4o and gpt-image-1. Explore AI generated visuals created with ChatGPT and Sora, showcasing OpenAI’s advanced image generation capabilities.

Code samples used on cloud.google.com

Automated Machine Learning with scikit-learn

Fastest, smallest, and fully autonomous AI assistant infrastructure written in Zig

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Image restoration with neural networks but without learning.

Open-source Claude Design alternative. One-click import your Claude Code / Codex API key. Prompt → prototype / slides / PDF. Multi-model (Claude, GPT, Gemini, Kimi, GLM, Ollama). BYOK, local-first, MIT.

Building a quick conversation-based search demo with Lepton AI.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Classical equations and diagrams in machine learning

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

《Pytorch模型训练实用教程》中配套代码

Production infrastructure for machine learning at scale

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Simple feed-forward neural network in JavaScript

all kinds of text classification models and more with deep learning

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

A faster pytorch implementation of faster r-cnn

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

A series of large language models trained from scratch by developers @01-ai

Implementation of popular deep learning networks with TensorRT network definition API

A simple task management system for managing AI dev agents

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture