Popular GitHub Repositories for Github Cli

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Ultralytics YOLO11 ?

aider is AI pair programming in your terminal

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker/Zotero

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Open source AI coding agent. Designed for large projects and real world tasks.

The official GitHub page for the survey paper "A Survey of Large Language Models".

A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.

Pocket Flow Tutorial Project: Turns GitHub repo into Easy Tutorial with AI

The first GitHub Copilot, Codeium and ChatGPT Xcode Source Editor Extension

Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme

? Power Your World with AI - Explore, Extend, Empower.

Sweep: AI coding assistant for JetBrains

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

? Yao is an all-in-one application engine that enables developers to create web apps, REST APIs, business applications, and more, with AI as a development partner.

All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.