Dataset Source Code
Data Formulator
Transform data and create rich visualizations iteratively with AI.
Researcher tools: code, datasets, & models
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.
Dataset Source Code
Trace
Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback (like numerical rewards or losses, natural language text, compiler errors, etc.). Trace generalizes the back-propagation algorithm by capturing and propagating an…
Dataset Source Code
LongRoPE
LongRoPE is a novel method that extends the context window of pre-trained LLMs to an impressive 2048k tokens by non-uniformly rescaling RoPE positional embeddings. LongRoPE has been integrated into Microsoft Phi-3.
Dataset Source Code
Intelligence Toolkit
The Intelligence Toolkit is a suite of interactive workflows for creating AI intelligence reports from real-world data sources. The toolkit is designed to help users identify patterns, answers, relationships, and risks within complex datasets, with…
Dataset Source Code
BitBLAS
BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
Dataset Source Code
MetaOpt: Towards efficient heuristic design with quantifiable and confident performance
MetaOpt is the first general-purpose and scalable tool that enables users to analyze a broad class of heuristics through easy-to-use abstractions that apply to a broad range of practical heuristics. For more information, checkout MetaOpt’s project webpage and…
Dataset Source Code
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…
Dataset Source Code
DOSA
A dataset of social artifacts from different Indian geographical subcultures.
Dataset Source Code
Private Benchmarking
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.