Python

Web Application Honeypot

Universal content grabber — fetch, normalize, and digest content from 7+ platforms (WeChat, XHS, X/Twitter, YouTube, Bilibili, Telegram, RSS)

Interpretable AI framework for compliance risk screening on IRS Form 990 filings — transformers, GNNs, and temporal models with built-in explainability.

AI agents that guide you from idea to working code, with you in control at every step.

YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.

🚀🚀 Efficient implementations of Native Sparse Attention

Enhance-A-Video: Better Generated Video for Free

体系化的机器人教学文档，涵盖数学基础、C++进阶、规划控制、SLAM等

The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A curated list of awesome KiCad plugins and resources

A list of methods to coerce a windows machine to authenticate to an attacker-controlled machine through a Remote Procedure Call (RPC) with various protocols.

This is pure-python implementation of the ADB client.

This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"

Python client for Meilisearch

UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas

Books and other resources

[SIGGRAPH2023] NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images

3D map visualization and web export plugin for QGIS

Selection of fonts with modified line height and family names, optimized for e-reading, particularly for Kobo, Kindle and Boox devices.

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

An app and guide to easily configure Windows, Linux, MacOS, Google TV, Stremio, Home Assistant and more (including WSL2, GPU drivers & development tools). Improve your UX & productivity.

Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]

Span-level grounding verification for RAG, code, and tool-grounded AI outputs.

Game patches for the Xenia emulator

Official Repository for "Glyph: Scaling Context Windows via Visual-Text Compression"