Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.
BioViL is a machine learning model trained on biomedical vision and language datasets at scale. It does not require manual annotations and can leverage historical raw clinical image acquisitions and clinical notes.
This Responsible-AI-Toolbox-Mitigations repo consists of a python library that aims to empower data scientists and ML developers to measure their dataset balance and representation of different dataset cohorts, while having access to mitigation techniques they…
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders…
Responsible AI Tracker is a JupyterLab Extension for managing, tracking, and comparing results of machine learning experiments for model improvement. Using this extension, users can view models, code, and visualization artifacts within the same framework…
This repository contains the code for CodaMOSA. CodaMOSA integrates queries to a Large Language Model (currently supports the OpenAI API) into search-based algorithms for unit test generation.
cheriot-ibex is a RTL implementation of CHERI ISA based on LowRISC’s Ibex core. More specifically, cheri-ibex is a 32-bit RISC-V microcontroller which implements the CheriIoT ISA extension in addition to RV32IMCB. Same as the original…
This repository contains an implementation of the CHERIoT ISA in Sail. It contains an executable description of the CHERIoT instruction set that can be used to build an instruction set emulator and also prove properties…
This repository contains the core RTOS components for the CHERIoT research platform. This is currently a research project that has been open-sourced to enable wider collaboration. It is not yet in a state where it…
This PyTorch package implements the language modeling experiments in Efficient Long Sequence Modeling via State Space Augmented Transformer.
DeFacto is a dataset containing human demonstrations and feedback for improving the factual consistency of text summarization.
