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

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

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

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…

🤗 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