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Microsoft's Projects

horseshoe-bnn icon horseshoe-bnn

A Bayesian Neural Network with a horseshoe prior for improved interpretability

hpc-api icon hpc-api

Code samples for HPC API to help partners to integrate driver ingestion and analytics

hrdiutilities icon hrdiutilities

This repository will contain sample code and utilities to build analytics solutions using Microsoft Fabric and Microsoft Purview

http-post-message icon http-post-message

A generic messaging component to send HTTP style message payloads over the window.postMessage API. Requires an implementation of window postMessage proxy such as 'window-post-message-proxy'

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

hummingbird icon hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

hurl icon hurl

Code repository accompanying the Heuristic Guided RL NeurIPS'21 paper

hve-core icon hve-core

A refined collection of Hypervelocity Engineering components (instructions, prompts, agents, and skills) to start your project off right, or upgrade your existing projects to get the most out of all Copilots

hvloader icon hvloader

HvLoader.efi is an EFI application for loading an external hypervisor loader

hybridrow icon hybridrow

Serialization format for semi-schematized data

hydrate icon hydrate

Hydrate crawls a kubernetes cluster and generates a high level description of your deployments.

hygeia icon hygeia

Chat with documentation endpoint, with session context, in Azure

hyperspace icon hyperspace

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

hypothtst icon hypothtst

Hypothesis tests, statistical power simulations, pitting various tests against each other, etc.

ibac-sni icon ibac-sni

Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck" by Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin and Katja Hofmann.

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