Zhihu++ | 知乎++: Ad-free, low cost, AI powered zhihu android 3rd-party client. 去广告、占用低、AI大模型的新时代知乎安卓端体验

Skills for Real Engineers. Straight from my .agents directory.

Linux device manager for Logitech devices

An unofficial userspace driver for HID++ Logitech devices

SGLang is a high-performance serving framework for large language models and multimodal models.

DRA Driver for NVIDIA GPUs

🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML

LLM powered development for VSCode

A remote cache for Bazel

A performant and modular runtime for TensorFlow

Manage your photos with Piwigo, a full featured open source photo gallery application for the web. Star us on Github! More than 200 plugins and themes available. Join us and contribute!

A lightweight terminal spinner for Python 🎁

Library for building powerful interactive command line applications in Python

High-performance automatic differentiation of LLVM and MLIR.

A Python compiler design toolkit.

This project aims to enhance the working environment on Windows

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IF…

效果更好的补帧软件，显存占用更小，是DAIN速度的10-25倍，包含抽帧处理，去除动漫卡顿感

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

This is a modified version of Console 2 for a better experience under Windows Vista/7/8/10 and a better visual rendering.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A Python framework for GPU-accelerated simulation, robotics, and machine learning.

Learning Stochastic Dynamics with Statistics-Informed Neural Network

Bayesian Modeling and Probabilistic Programming in Python