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.
KReMLin
KreMLin is a tool that extracts an F* program to readable C code. If the F* program verifies against a low-level memory model that talks about the stack and the heap; if it is first-order;…
Lean interactive theorem prover
Lean is a functional programming language that makes it easy to write correct and maintainable code. You can also use Lean as an interactive theorem prover. Lean programming primarily involves defining types and functions. This…
Boogie intermediate verification language
Boogie is an intermediate verification language (IVL), intended as a layer on which to build program verifiers for other languages. Several program verifiers have been built in this way, including the VCC and HAVOC verifiers…
Fairlearn
A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.
Trusted Platform Module (TPM) Reference implementation – 2.0 specification
This is a Microsoft Visual Studio solution that contains reference implementation of the TPM 2.0 Specification by TCG available at https://trustedcomputinggroup.org/tpm-library-specification (opens in new tab). See the TPMCmd/tpm/include/TpmTypes.h header for the exact revision/date of the TPM…
Vigil: Democratically Finding The Cause of Packet Drops
The source code for the simulations in the paper, 007: Democratically Finding The Cause of Packet Drops (NSDI 2018). To run: use MultiFailureDriver or SingleLinkFailureDriver (these are the starting points/drivers of the code).
IR metrics for R
This is a small library for implementing several standard “test collection” or “offline” evaluation measures for search systems. See: https://github.com/Microsoft/irmetrics-r (opens in new tab)
FrodoKEM: Learning with Errors Key Encapsulation
This C library implements FrodoKEM, an IND-CCA secure key encapsulation (KEM) protocol based on the well-studied Learning with Errors (LWE) problem [1], which in turn has close connections to conjectured-hard problems on generic, “algebraically unstructured” lattices. FrodoKEM is…
Learning to Represent Programs with Graphs Dataset – ICLR 2018
This download contains the graphs (parsed source code) for the open-source projects used in the ICLR 2018 paper “Learning to Represent Programs with Graphs”. In this work, we present how to construct graphs from source…