Popular GitHub Repositories for Lc Ms

MS-Agent: Lightweight Framework for Empowering Agents with Autonomous Exploration

Measures and metrics for image2image tasks. PyTorch.

meeting notetaker and knowledge chat for teams and individuals

Gain insights into MS-RPC implementations that may be vulnerable using an automated approach and make it easy to visualize the data. By following this approach, a security researcher will hopefully identify interesting RPC services in such a time that would take a manual approach significantly more.

[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer

A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

一个模型上下文协议 (MCP) 服务器，允许大型语言模型 (LLM) 访问并了解关系型数据库，例如 SQLite、PostgreSQL、MySQL、MariaDB、Oracle 和 MS-SQL。

Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

[IJCAI 2022] Official Pytorch code for paper “S2 Transformer for Image Captioning”

AI-900 Azure AI Fundamentals certification prep (May 2025 exam) - Hands-on demos for O'Reilly & MS Press courses by Microsoft MVP Tim Warner

Easy "1-line" calling of all LLMs from OpenAI, MS Azure, AWS Bedrock, GCP Vertex, and Ollama

Create a chatbot in Microsoft Word powered by ChatGPT

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

Combining ViT and GPT-2 for image captioning. Trained on MS-COCO. The model was implemented mostly from scratch.

Unofficial open APIs for popular LLMs (currently for ChatGPT and MS Copilot) with self-hosted redirect capability

Skeleton-based action segmentation with multi-stage spatial-temporal graph convolutional neural networks (MS-GCN)

lc0docker: run lc0 chess client and lichess bot under Docker and Kubernetes

HR Data Analytics portfolio project on a dataset of 80K records that deals with HR KPIs like Performance tracking, attrition rate. Project involved cleaning, transforming data and visualizing it to create a dashboard. I have used the MS Excel and Power BI's Query Editor for data cleaning and preprocessing and dashboard.