- All languages
- Astro
- Batchfile
- C
- C#
- C++
- CSS
- CoffeeScript
- Dart
- Dockerfile
- F#
- Go
- Groovy
- HCL
- HTML
- Haskell
- Inno Setup
- Java
- JavaScript
- Jinja
- Jsonnet
- Jupyter Notebook
- Lua
- MATLAB
- MDX
- Makefile
- Markdown
- Mermaid
- Metal
- Mustache
- Nushell
- PHP
- Pascal
- Perl
- PowerShell
- Python
- R
- Rich Text Format
- Ruby
- Rust
- SCSS
- SWIG
- Scala
- Shell
- Smarty
- TSQL
- TeX
- TypeScript
- TypeSpec
- VBA
- Vue
Starred repositories
Run GreenBitAI's Quantized LLMs on Apple Devices with MLX
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[CVPR 2025 Oral] VGGT: Visual Geometry Grounded Transformer
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
SpatialLM: Large Language Model for Spatial Understanding
The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft.
Fast SQL-only data application builder. Automatically build a UI on top of SQL queries.
A GUI Agent application based on UI-TARS(Vision-Language Model) that allows you to control your computer using natural language.
Text2Sql.Net 是一个使用DotNet和Semantic Kernel开发的Text2Sql工具
Awesome ModelContextProtocol resources - A curated list of MCP DotNET resources
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
xclabel是一款支持多人协作的,样本导入+样本标注+模型训练+模型管理+模型测试+模型导出的工具
Roslyn +Monaco 开发的快速验证 c# 代码片段的工具 。前端代码由 cursor 驱动 ,支持ai chat与ai completion
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
The Data Change Processing platform
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
SharpToken is a C# library for tokenizing natural language text. It's based on the tiktoken Python library and designed to be fast and accurate.
Build, test and manage your AI Agents in the central place.
OpenOCR: A general OCR system with accuracy and efficiency. Supporting 24 Scene Text Recognition methods trained from scratch on large-scale real datasets, and will continue to add the latest methods.