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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

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

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Tensor library for machine learning

Machine Learning Engineering Open Book

🤗 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…

Visualizer for neural network, deep learning and machine learning models

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…

Fit interpretable models. Explain blackbox machine learning.

A flexible, high-performance serving system for machine learning models

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

An Open Source Machine Learning Framework for Everyone

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

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