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.
FlexCAD aims at achieving controllable CAD generation across all CAD construction hierarchies. It takes an original CAD model along with the part the user intends to modify (highlighted in blude) as input, and generates multiple…
Repo for “Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective”
We employ GloVe and random projection theory to infer immunologically meaningful T-cell receptor embeddings from adaptive immune repertoires. This repository contains the Pytorch code to replicate experiments in our paper “Scalable Universal T-Cell Receptor Embeddings…
This repository contains the code for the paper “Improving Instruction-Following in Language Models through Activation Steering,” presented at ICLR 2025.
Time series generation technology plays a vital role in alleviating data scarcity, especially in scenarios where collecting real-world data is expensive, time-consuming, or impractical. It also enables privacy-preserving analysis by producing realistic but non-identifiable synthetic…
This is the official repository of paper “Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching.” We propose Distilled Decoding (DD) to distill a pre-trained image auto-regressive model to few steps for…
This is the official code repository for the paper “Unearthing Skill-level Insights for Understanding Tradeoffs of Foundation Models”. All rationales, localized skills, and skill-slices for the 12 datasets studied in the paper can also be accessed…
This is the official codebase for the paper “The Belief State Transformer”, based on the nanoGPT repository by Andrej Karpathy.
