Stars
CRS-自建Claude Code镜像，一站式开源中转服务，让 Claude、OpenAI、Gemini、Droid 订阅统一接入，支持拼车共享，更高效分摊成本，原生工具无缝使用。
High performance self-hosted photo and video management solution.
Cross-platform Python wrapper for 7zz CLI object-oriented API
Automate multi-platform Docker image builds of n8n with FFmpeg integration via GitHub Actions.
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)
Automated workflows for Claude Code. Features spec-driven development for new features (Requirements → Design → Tasks → Implementation) and streamlined bug fix workflow for quick issue resolution (…
Interactive User Feedback MCP
破解Surveillance-Station的60授权，仅供学习研究，请勿用于商业用途！
Immich 反向地理編碼 - 臺灣特化，提供更精確的地理資訊與中文化優化，改善行政區顯示與翻譯準確度。
faster_whisper GUI with PySide6
Script to install Video Station in DSM 7.2.2 and DSM 7.3
A simple, lightweight PowerShell script to remove pre-installed apps, disable telemetry, as well as perform various other changes to customize, declutter and improve your Windows experience. Win11D…
InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds (CVPR 2023)
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!
[CVPR 2023] Code for "Learning Neural Volumetric Representations of Dynamic Humans in Minutes"
[ICCV2023] NSF: Neural Surface Fields for Human Modeling from Monocular Depth
Lightning fast C++/CUDA neural network framework
[ICCV'23 Oral, Best Paper Finalist]Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition (CVPR2023)
Real time transcription with OpenAI Whisper.
🤱🏻 Turn any webpage into a desktop app with one command.
Faster Whisper transcription with CTranslate2
Yet another voice assistant, but alive.
A New Padding Scheme: Partial Convolution based Padding
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.