HesitantRealism14's Stars
google/active-learning
google/trax
Trax — Deep Learning with Clear Code and Speed
microsoft/tf-gnn-samples
TensorFlow implementations of Graph Neural Networks
microsoft/Deep3DFaceReconstruction
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
microsoft/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
microsoft/angular-react
Use React components inside Angular
microsoft/samples-for-ai
Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
microsoft/SoftTeacher
Semi-Supervised Learning, Object Detection, ICCV2021
microsoft/TypeScript-WeChat-Starter
A starter template for TypeScript and WeChat with a detailed README describing how to use the two together.
microsoft/PythonProgrammingPuzzles
A Dataset of Python Challenges for AI Research
microsoft/DirectML
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
microsoft/Windows-Machine-Learning
Samples and Tools for Windows ML.
microsoft/MLOps
MLOps examples
microsoft/WhatTheHack
A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
microsoft/beginners-intro-javascript-node
Beginner's Series: Introduction to JavaScript (Node.js)
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
microsoft/muzic
Muzic: Music Understanding and Generation with Artificial Intelligence
microsoft/TypeScript-React-Native-Starter
A starter template for TypeScript and React Native with a detailed README describing how to use the two together.
microsoft/AcademicContent
Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
microsoft/nodejs-guidelines
Tips, tricks, and resources for working with Node.js, and the start of an ongoing conversation on how we can improve the Node.js experience on Microsoft platforms.
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
microsoft/frontend-bootcamp
Frontend Workshop from HTML/CSS/JS to TypeScript/React/Redux
recommenders-team/recommenders
Best Practices on Recommendation Systems
microsoft/api-guidelines
Microsoft REST API Guidelines
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
microsoft/vscode-tips-and-tricks
Collection of helpful tips and tricks for VS Code.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all