Dataset Source Code
Stochastic Mixture-of-Experts
This PyTorch package implements Taming Sparsely Activated Transformer with Stochastic Experts.
Research Tools: code, datasets, & models
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.
Dataset Source Code
Deep Neural Machine Translation
This PyTorch package implements Very Deep Transformers for Neural Machine Translation, to stabilize the large scale language model and neural machine translation training, as described in: Very deep transformers for neural machine translation
Dataset Source Code
TaxiXNLI
This repository contains necessary data associated with the Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance, published in EMNLP 2021 Multilingual Representation Learning workshop. This data is a multi-lingual extension of ID 3860 released dataset.…
Dataset Source Code
Meta Self-training for Few-shot Neural Sequence Labeling [Code]
This is the implementation of the paper Meta Self-training for Few-shot Neural Sequence Labeling. MetaST is short for meta-learning for self-training.
Dataset Source Code
Jacdac Device Development Kit (DDK)
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…
Dataset Source Code
Python library for Optimistic Online Learning under Delay (PoolD)
This Python package implements algorithms for online learning under delay using optimistic hints. More details on the algorithms and their regret properties can be found in the manuscript Online Learning with Optimism and Delay.
Dataset Source Code
Project Azua: Data efficient decision making
Many modern AI algorithms are known to be data-hungry, whereas human decision-making is much more efficient. The human can reason under uncertainty, actively acquire valuable information from the world to reduce uncertainty, and make personalized…
Dataset Source Code
Subseasonal Forecasting Toolkit
The subseasonal_toolkit package provides implementations of the subseasonal forecasting toolkit models, machine learning models, and meteorological baselines presented in the preprint Learned Benchmarks for Subseasonal Forecasting Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah…
Dataset Source Code
Graph Drilldown
This is a webapp that provides the ability to visualize and explore large graphs (networks). It is based on research our team has done for graph machine learning and high-scale visualization. We are open-sourcing the…