Research Tools: code, datasets, & models

Multi-task learning toolkit for natural language understanding, including knowledge distillation.

ConvLab is an open-source multi-domain end-to-end dialog system platform, aiming to enable researchers to quickly set up experiments with reusable components and compare a large set of different approaches, ranging from conventional pipeline systems to…

A Python package of accelerated first-order algorithms for solving relatively-smooth convex optimization problems. It implements all algorithms described in our recent paper on accelerated Bregman proximal gradient methods, including the baseline algorithms for comparison. It…

DiCE is a Python library to explain an ML model such that the explanation is truthful to the model and yet interpretable to people. This connects to the “Explainable AI systems” theme.

This repository hosts samples that demonstrate how to use Trill, a high-performance one-pass in-memory streaming analytics engine from Microsoft Research. It can handle both real-time and offline data, and is based on a temporal data…

Our objective is to develop a library of efficient machine learning algorithms that can run on severely resource-constrained edge and endpoint IoT devices ranging from the Arduino to the Raspberry Pi. Please see our GitHub (opens in new…

The bistring library provides non-destructive versions of common string processing operations like normalization, case folding, and find/replace. Each bistring remembers the original string, and how its substrings map to substrings of the modified version.

Code on Github to reproduce data in Bias in Bios Paper

A high-resolution convolutional network backbone, better than ResNets. Many computer vision applications: ImageNet classification, semantic segmentation, object detection, and facial landmark detection.

The project is an official implementation of our CVPR2019 paper “Deep High-Resolution Representation Learning for Human Pose Estimation”