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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 .claude directory.
An unofficial userspace driver for HID++ Logitech devices
SGLang is a high-performance serving framework for large language models and multimodal models.
🆙 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 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!
Library for building powerful interactive command line applications in Python
High-performance automatic differentiation of LLVM and MLIR.
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.
cbucher / console
Forked from bozho/consoleThis 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