Popular GitHub Repositories for Ms Lesions

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

[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”

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

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

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

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.

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

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

This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x

RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)