Dataset Source Code
Aerial Wildlife Detection
AIDE: Annotation Interface for Data-driven Ecology – Tools for detecting wildlife in aerial images using active learning
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
DiCE: A library for generating Diverse Counterfactual Explanations
DiCE is a Python library that can generate counterfactual explanations for any machine learning classifier. Counterfactual explanations present “what-if” perturbations of the input such that an ML classifier outputs a different class for those perturbations…
Tool
Odia Speech Data and Model
As part of this release, Navana Tech and Microsoft Research India are open-sourcing 1648 hours of validated Odia speech dataset and a baseline model for Odia speech recognition. The speech dataset consists of recordings in…
Dataset Source Code
LiST (Lite Self-Training)
We present a new method LiST for efficient fine-tuning of large pre-trained language models (PLMs) in few-shot learning settings. LiST significantly improves over recent methods that adopt prompt fine-tuning using two key techniques. The first…
Dataset Source Code
LITMUS Predictor
LITMUS Predictor provides support for simulating performance in ~100 languages given training observations of the desired task-model. Each training observation specifies the finetuning-datasize + test-performance in different languages. Further, the tool provides support for constructing…
Dataset Source Code
DistIR
DistIR is an intermediate representation (IR) and associated set of tools for optimizing distributed machine learning computations (both training and inference). An IR is a format for representing programs used by compilers and software analysis…
Dataset Source Code
Modulo Paper repository
Modulo allows optimal selection of vehicles for effective drive-by sensing.
Dataset Source Code
Machine Intelligence PyTorch Module Zoo
A number of PyTorch modules (neural network components) that are broadly (re)usable. The goal of this release is to provide a library to machine learning researchers to use and advance the state-of-the-art in the area.