An index of datasets, SDKs, APIs and other open source code created by Microsoft researchers and shared with the broader academic community. We also maintain a collection highlighting some of the tools you’ll find here.
InferredBugs is a metadata-rich dataset of bugs and fixes in Java and C# programming languages, extracted using Infer (for Java) and InferSharp (for C#). The dataset has been constructed by systematically analyzing open-source repositories, scrutinizing…
PyTorch emulation library for Microscaling (MX)-compatible data formats
Enable Next-Gen Large Language Model Applications. microsoft.github.io/autogen/ Join our Discord:Â https://discord.gg/pAbnFJrkgZ
A space simulation platform that caters to individuals with diverse research interests, including networking, AI, computing, and more. Unlike traditional simulators tied to specific research applications, our design allows for seamless integration of various space-related…
With FarmVibes.AI, you can develop rich geospatial insights for agriculture and sustainability. Build models that fuse multiple geospatial and spatiotemporal datasets to obtain insights (e.g. estimate carbon footprint, understand growth rate, detect practices followed) that…
DSPDA: Differentially Private Synthetic Data via Foundation Model APIs—This repo is a Python library to generate differentially private (DP) synthetic data without the need of any ML model training. It is based on the following papers…
We study various aspects of our proposed model including, dependency on the number of eigencomponents utilized, latent polynomial filters learned, and performance of the individual polynomials on the node classification task. We further show that…
LIDA: Automatic Generation of Visualizations and Infographics using Large Language Models—LIDA is a library for generating data visualizations and data-faithful infographics. LIDA is grammar agnostic (will work with any programming language and visualization libraries e.g.…
