This framework exploits the sensitivity of modern machine learning algorithms to input perturbations in order to design “robust objects,” i.e., objects that are explicitly optimized to be confidently detected or classified. We demonstrate the efficacy of the framework on a wide variety of vision-based tasks ranging from standard benchmarks, to (in-simulation) robotics, to real-world experiments.
FLAML is a Python library designed to automatically produce accurate machine learning models with low computational cost. It frees users from selecting learners and hyperparameters for each learner. FLAML is powered by a new, cost-effective hyperparameter optimization and learner selection method invented by Microsoft Research.
Netherite is a storage execution engine for the Durable Task and Durable Functions frameworks. It is designed to achieve higher throughput and lower latency than previous implementations. It contains several architectural innovations and optimizations that were developed as a collaboration between MSR and the Azure Durable Functions team. It currently uses Azure Storage, Azure EventHubs, and FASTER as its storage components, but may rely on other components in the future.
MPNet is supported by Huggingface, one of the most popular repo for pre-trained language models. You can follow this link to have a try on MPNet via Huggingface.
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in enabling telescreening of fatal lung diseases. Deep neural networks (DNNs) have shown a lot of promise for such problems, and are an obvious choice. However, DNNs are extremely data hungry, and the largest respiratory dataset ICBHI has only 6898 breathing cycles, which is still small for training a satisfactory…
This repo provides code for generating the sepsis cohort from MIMIC III dataset. Our main goal is to facilitate reproducibility of results in the literature.
Unsupervised Domain Adaptation algorithms robust to mismatched label distributions
Accompanying paper: iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox A MATLAB toolbox for iPPG analysis. The toolbox includes implementations of commonly used methods.
Accompanies the paper Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)
