Researcher tools: code & datasets

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.

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License Types

Published Date

Dataset Source Code

XtremeDistil

XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale.

GitHub

Dataset Source Code

AdaTest

Find and fix bugs in natural language machine learning models using adaptive testing.

GitHub

Dataset Source Code

Edge Video Services (EVS)

The GitHub repository includes instructions to build and deploy a video analytics service tailored for operator’s infrastructure using Kubernetes in the Azure public MEC and Azure IoT Edge, and video ML containers like NVIDIA Triton…

GitHub

Dataset Source Code

Admin-Torch

Here, we provide a plug-in-and-play implementation of Admin, which stabilizes previously-diverged Transformer training and achieves better performance, without introducing additional hyper-parameters. The design of Admin is half-precision friendly and can be reparameterized into the original…

GitHub

Dataset Source Code

AMOS

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. This repository contains the scripts for fine-tuning AMOS pretrained models on GLUE and SQuAD 2.0 benchmarks. Accompanying paper accepted to ICLR 2022: “Pretraining Text Encoders…

GitHub

Dataset Source Code

MoLeR: A Model for Molecule Generation

Implementation of MoLeR: a generative model of molecular graphs which supports scaffold-constrained generation. This open-source code accompanies our paper “Learning to Extend Molecular Scaffolds with Structural Motifs”, which has been accepted at the ICLR 2022…

GitHub

Dataset Source Code

MeshGraphormer

Research code for ICCV 2021 paper “Mesh Graphormer”

GitHub

Dataset Source Code

PrivGan

Protecting GANs from membership inference attacks at low cost.

GitHub

Dataset Source Code

Bird Acoustics RCNN

A deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species

GitHub

Dataset Source Code

GoodPoints: Distribution Compression in Near-linear Time

A Python package for generating concise, high-quality summaries of a probability distribution In distribution compression, one aims to accurately summarize a probability distribution $\P$ using a small number of representative points. Near-optimal thinning procedures achieve…

GitHub