MicroCode
Microsoft MicroCode is an icon-based programming language and editor for young learners to code with the BBC micro:bit V2. MicroCode allows you to program the micro:bit V2 with only an Arcade shield accessory – no…
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.
Microsoft MicroCode is an icon-based programming language and editor for young learners to code with the BBC micro:bit V2. MicroCode allows you to program the micro:bit V2 with only an Arcade shield accessory – no…
A dataset of social artifacts from different Indian geographical subcultures. This repo hosts the code to run experiments on the DOSA dataset.
TE-CCL is a tool to generate collective communication schedules for large topologies using a Traffic Engineering-based solver. TE-CCL takes in a topology and collective (e.g. AllGather) and outputs a schedule (in JSON) detailing data transfer…
A platform that enables users to perform private benchmarking of machine learning models. The platform facilitates the evaluation of models based on different trust levels between the model owners and the dataset owners.
Cookie-doh is a repository template for creating single Python package projects.
MInference 1.0 leverages the dynamic sparse nature of LLMs’ attention, which exhibits some static patterns, to speed up the pre-filling for long-context LLMs. It first determines offline which sparse pattern each head belongs to, then…
Soroush is a general and scalable max-min fair allocator. It consists of a group of approximate and heuristic methods that (a) solve at most one optimization, and (b) enable users to control the trade-offs between…
This repository is the source code for our paper:Â Federated Learning under Distributed Concept Drift (AISTATS’23).
This is a benchmark tool to evaluate natural language-based network management using LLM-generated code.
This dataset serves as a benchmark for evaluting the performance and efficiency of anomaly detectors in east-west data center network traffic.