CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识。

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice cloning, and large audiobook-scale text processing. Runs accelerated on NVIDIA (CUDA), AMD (ROCm), and CPU.

A hardware-aware Codex/WorkBuddy skill that automates local MiniMax H3 video generation through ComfyUI, handling model selection, installation, and low-VRAM configuration.

Solve puzzles. Learn CUDA.

PopSift is an implementation of the SIFT algorithm in CUDA.

GPU Accelerated t-SNE for CUDA with Python bindings

cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.

A fully self-contained, offline AI image generation studio for Windows. Runs Stable Diffusion (Safetensors/GGUF) locally with zero manual setup. Auto-configures CUDA for Nvidia GPUs and Vulkan for AMD/Intel Arc cards. Zero system-wide dependencies required.

A slightly opinionated Nix flake for ComfyUI with curated custom nodes. Supports macOS (Apple Silicon) and Linux with CUDA.

Implementation of the KinectFusion approach in modern C++14 and CUDA