MirrorSharp is a code editor <textarea> built on Roslyn and CodeMirror

Dynamically run code using .NET 10, Roslyn and AssemblyLoadContext

C# to C++ transpiler (Cs2Cpp) (Powered by Roslyn)

Write C# apps with a text editor, nuget and the power of Roslyn!

Curated list of awesome Roslyn books, tutorials, open-source projects, analyzers, code fixes, refactorings, and source generators

Roslyn tool that for a given C# program shows syntax tree API calls to construct its syntax tree

[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

The easiest way to use Ollama in .NET

使用labelImg对水印位置进行标注，ultralytics-YOLO8对水印位置进行模型训练&检测。

A feature-rich screen capture software with just a single executable file

Official repository for Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation. (DINOv3)

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

Unlimited Updates, Boundless Upgrades.

🔥 A cross-platform build utility based on Lua

Train and test image anomaly detection models with Anomalib. Examples on a custom dataset

Pipeline training and inference Anomalib models UI in Anomaly Detection

(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection

Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.

Dinomaly with DinoV3

[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs

Using ncnn to test the reasoning performance of neural network

A tool designed for low-level examination and modification of Unreal Engine game assets by hand.

[CVPR 2024] PyTorch implementation of NOPE: Novel Object Pose Estimation from a Single Image

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications.