Stars
A curated list of practical financial machine learning tools and applications.
A complete computer science study plan to become a software engineer.
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Low-level unprivileged sandboxing tool used by Flatpak and similar projects
Master programming by recreating your favorite technologies from scratch.
😎 Awesome lists about all kinds of interesting topics
Run Windows Subsystem For Android on your Windows 10 and Windows 11 PC using prebuilt binaries with Google Play Store (MindTheGapps) and/or Magisk or KernelSU (root solutions) built in.
🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.
👻 Primitive and flexible state management for React
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
A Key-value NoSQL Database Written in Java, based on Skip-List.
OpenMMLab Detection Toolbox and Benchmark
Graphical user interface for managing your Linux applications. Supports AppImage, Debian and Arch packages (including AUR), Flatpak, Snap and native Web applications
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Create a draggable and resizable dashboard in Streamlit, featuring Material UI widgets, Monaco editor (Visual Studio Code), Nivo charts, and more!
Minecraft 启动器 Plain Craft Launcher（PCL）。
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…
Run TUIs and terminals in your browser
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Streamlit — A faster way to build and share data apps.
📚 Freely available programming books
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.