Researcher tools: code & datasets

Assisting human translators with on-the-fly hints and suggestions, making the end-to-end translation process faster, more efficient, and creating high-quality translations.

Jacdac (Joint Asynchronous Communications; Device Agnostic Control) is a single wire broadcast protocol for the plug and play of microcontrollers (MCUs) within the contexts of rapid prototyping, making, and physical computing. The Jacdac Device Development Kit (DDK) is for 3rd party hardware designers, firmware developers and manufacturers who wish to create their own Jacdac devices. We’ll be releasing the DDK open-source.

This is the official code repository to accompany the paper CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. Here we provide Python code for generating and logging scenarios using the simulation environment as well as links to the baseline code used for running our experiments.

Koka: a Functional Language with Effects Koka is a strongly typed functional-style language with effect types and handlers.

This repository showcases building task-oriented bot at scale with handful examples via fine-tuning a pretrained model using SOLOIST framework, and contains the dataset, source code and pre-trained model for the following paper: SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao Transactions of the Association for Computational Linguistics 2021

Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning for image-text and video-text tasks. It takes raw videos/images + text as inputs, and outputs task predictions. ClipBERT is designed based on 2D CNNs and transformers, and uses a sparse sampling strategy to enable efficient end-to-end video-and-language learning.

We have developed a new algorithm to optimally compose privacy guarantees of differentially private (DP) algorithms to arbitrary accuracy. This release accompanies our research paper. We hope to help to privacy community to be able to run more accurate accounting of privacy budgets and maintain Microsoft’s position in the privacy research field.

We release code and datasets to train FLIN, a natural language model for web navigation.

Code for NAACL 2021 paper Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents.

Uses InfluxDB, Grafana and the Azure IoT Node.js SDK to communicate with Azure IoT Hub and showcase how the Verified Telemetry features can be utilized in real world scenarios.