Starred repositories
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Main reference implementation for NLWeb, implemented in Python.
Hugo documentation theme as simple as plain book
⭐Github Ranking⭐ Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名，每日自动更新
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
⛅️ 精选的 Cloudflare 工具、开源项目、指南、博客和其他资源列表。/ ⛅️ A curated list of Cloudflare tools, open source projects, guides, blogs and other resources.
Python best practices guidebook, written for humans.
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
🎓 Path to a free self-taught education in Computer Science!
A complete computer science study plan to become a software engineer.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python Web Framework built for learning purposes
A minimal programming example for a chat server
A telegram bot for rss reader. 一个支持应用内阅读的 Telegram RSS Bot。
A free, fast, and reliable Open Source CDN for npm, GitHub, Javascript, and ESM
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
A long list of (advanced) JavaScript questions, and their explanations ✨
Read Pilot analyzes online articles and generate Q&A cards for you. Powered by OpenAI & Next.js.
Code documentation written as code! How novel and totally my idea!
😺 Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.