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Starred repositories
DeepSeek Harness: Everything is a Plugin.
A .NET library for screen recording in Windows, using native Microsoft Media Foundation for realtime encoding to h264 video or PNG images.
Native support for JSX and TSX as a server and client rendered view engine for ASP.NET Core. Bringing the modern web to ASP.NET.
Master programming by recreating your favorite technologies from scratch.
DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
A native .NET LLM inference engine for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It sup…
精简、跨平台的 OpenCV DNN PP-OCR 推理项目,提供稳定 C ABI、C/C#/Python 示例、HTTP 服务、Web UI,以及 Windows Service/systemd 部署。Minimal cross-platform PP-OCR inference powered by OpenCV DNN.
(ECCV 2026) ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection
Official implementation of the paper "LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing" accepted @ IEEE COINS 2026.
Create and share 3D architectural projects.
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Amnezia VPN Client (Desktop+Mobile)
State-of-the-art face detection and face recognition for .NET.
UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression
[CVPR 2026] Reasoning-Driven Anomaly Detection and Localization with Image-Level Supervision
[CVPR'26] AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
Official code repository for AnoPLe: Few-Shot Anomaly Detection via Bi-directional Prompt Learning with Only Normal Samples
Official implementation of "InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models"(CVPR2026).
Official PyTorch implementation for paper: "Is Training Necessary for Anomaly Detection?"
[ECCV 2026] Official implementation of "CMDS-AD: Cross-Modal Dual-Stream Decoupling for Few-Shot Anomaly Detection"
Paper list for industrial image anomaly synthesis methods.
The Codes and Data of A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection [ICLR'25]