Stars
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Your one-click scientific research lab for Opencode - with seamless .ipynb and REPL integration
Drivers for Interfacing various sensors with stm32f407 Discovery Board
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
Steering Column Demo
This use case shows how Connext DDS can be used by Autonomous Vehicle developers to leverage RTI’s extensive experience with autonomous robotics, safety-critical systems and state-of-the-art archit…
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
ML.NET is an open source and cross-platform machine learning framework for .NET.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
We write your reusable computer vision tools. 💜
NI-XNET (CAN/LIN/FlexRay) driver .net/C# wrapper
The main purpose of the toolkit is to accelerate the creation and development of MVVM applications in Xamarin.Android, Xamarin.iOS, Xamarin.Forms, Windows 10 UWP, Windows Presentation Foundation (W…
A collection of small samples using MaterialDesignInXaml.
Google's Material Design in XAML & WPF, for C# & VB.Net.
A framework that allows developers to cobble together a better UI for their own WPF applications with minimal effort.
A Form and Data Management Platform for Progressive Web Applications.
Plugin for generating HTML reports for pytest results
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media