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ML.NET is an open source and cross-platform machine learning framework for .NET.

A log of things I'm learning

Code Repository for Machine Learning with PyTorch and Scikit-Learn

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…

A library of extension and helper modules for Python's data analysis and machine learning libraries.

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…

An Open Source Machine Learning Framework for Everyone

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Visualizer for neural network, deep learning and machine learning models

A game theoretic approach to explain the output of any machine learning model.

Machine Learning Systems

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Open standard for machine learning interoperability