Popular GitHub Repositories for Hacktoberfest 2020

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

? The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

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

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile ?

CVPR 2025 论文和开源项目合集

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

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

Turns Data and AI algorithms into production-ready web applications in no time.

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers

Bringing Old Photo Back to Life (CVPR 2020 oral)

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

A hyperparameter optimization framework

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

A unified framework for machine learning with time series