HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Contains code and data for "The Researchers' Guide" Medium blogs

Facilitates simple large scale processing of HLS Medical images, documents, zip files. OHIF Viewer, 2 segmentation models and interactive learning.

Learn How To Observe, Manage, and Scale, Agentic AI Apps Using Azure AI Foundry - with this hands-on workshop

Composable AI Reference Architectures (CAIRA)

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Introduction to Machine Learning Systems

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…

Draw what you see, and guess what your friends drew

Codes for paper "Mask Scoring R-CNN".

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Medical Image Radiomics Processor

A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

CPU compatible fork of the official SAMv2 implementation aimed at more accessible and documented tutorials

Kusto Query Language is a simple and productive language for querying Big Data.

💫 Toolkit to help you get started with Spec-Driven Development

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

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.

Make your GenAI Apps Safe & Secure 🚀 Test & harden your system prompt

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

The repository shows how to implement MLOps process for LLM-based backend

Implement GenAIOps using Azure AI Foundry with ease and jumpstart

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

A web application for collecting feedback on machine learning-generated outputs, developed with Streamlit.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…