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.
FreeLB is an adversarial training approach for improving transformer-based language models on Natural Language Understanding tasks. It accumulates the gradient in the ascent steps and updates the parameters with the accumulated gradients, which is approximately…
Prevalent: A Pretrained Generic VLN Agent [Code Clean Is In Progress] This repository contains source code to reproduce the results presented in the paper: Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training, CVPR…
This repository contains source code to reproduce the results presented in the paper: Feature Quantization Improves GAN Training, 2020 Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen (opens in new tab)
The Microsoft Rocketbox Avatar library consists of 115 characters and avatars fully rigged and with high definition that was developed over the course of 10 years. The diversity of the characters and the quality of…
The RoomAlive Toolkit is an open source SDK that enables developers to calibrate a network of multiple Kinect sensors and video projectors. The toolkit also provides a simple projection mapping sample that can be used…
Reference implementation and test synthetic data for “Sorted Center Time” echo density measure for acoustic impulse responses
This repository provides a code base to evaluate and train models from the paper “Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations”.
