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.
This project contains example notebooks exhibiting confidence sequences that are robust, i.e., converge for observations with infinite variance. Robust Mean Demo: The basic technique for covering the running conditional mean in a nonstationary environment. Includes…
Large-scale pretrained models for goal-directed dialog. This repository showcases building goal-directed dialog using GODEL, and contains the dataset, source code and pre-trained model for the following paper: GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
This repo contains the code for the video analysis pipeline for the paper Towards Automating Retinoscopy for Refractive Error Diagnosis accepted at the IMWUT 2022. The input to the system is a retinoscopic video, with the patient wearing…
BioGPT is a pre-trained language model for text mining and generation for biomedical domain research.
Humans make tens of thousands of decisions every day. Project Causica aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all domains. We develop advanced machine learning solutions…
Motivated by our recent work, we are releasing a repository for training transformer models with differential privacy. Our repository is based on integrating the Opacus library to the Hugging Face platform. We aim to serve the privacy-preserving ML community in…
This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by…
Source code of BindVAE paper on Variational Auto Encoders for learning binding signatures of transcription factors. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02723-w
This repository contains the baseline code for the paper published in NAACL 2022: “WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding”. Detailed description about the data sets and methods can be manuscript…
This repository contains pretraining pipeline of sequence-to-sequence language models.
