顶级开源项目分享

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. https://github.com/cvat-ai/cvat

A high-performance observability data pipeline. https://github.com/vectordotdev/vector

JavaScript animation engine https://github.com/juliangarnier/anime

Publication-ready NN-architecture schematics. https://github.com/alexlenail/NN-SVG

Letta (formerly MemGPT) is a framework for creating LLM services with memory. https://github.com/letta-ai/letta

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This is a repo with links to everything you'd ever want to learn about data engineering https://github.com/DataExpert-io/data-engineer-handbook

Simple, reliable, and efficient distributed task queue in Go https://github.com/hibiken/asynq

Vue3 + Pinia 仿抖音，Vue 在移动端的最佳实践 . Imitate TikTok ，Vue Best practices on Mobile https://github.com/zyronon/douyin

A fast TCP/UDP tunnel over HTTP https://github.com/jpillora/chisel

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python

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The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. https://github.com/llvm/llvm-project

A script that helps generate a rich GitHub Contribution Graph for your account 🤖 https://github.com/Shpota/github-activity-generator

AI-data warehouse to enrich, transform and analyze data from cloud storages https://github.com/iterative/datachain

Production-grade Turborepo template for Next.js apps. https://github.com/haydenbleasel/next-forge

🚀 Next Generation AI One-Stop Internationalization Solution. 🚀 下一代 AI 一站式 B/C 端解决方案，支持 OpenAI，Midjourney，Claude，讯飞星火，Stable Diffusion，DALL·E，ChatGLM，通义千问，腾讯混元，360 智脑，百川 AI，火山方舟，新必应，Gemini，Moonshot 等模型，支持对话分享，自定义预设，云端同步，模型市场，支持弹性计费和订阅计划模式，支持图片解析，支持联网搜索，支持模型缓存，丰富美观的后台管理与仪表盘数据统计。 https://github.com/zmh-program/chatnio

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InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data. https://github.com/instructlab/instructlab

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. https://github.com/d2l-ai/d2l-en