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

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

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…

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

Techniques for deep learning with satellite & aerial imagery

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The fastai deep learning library

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Tensor library for machine learning

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

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

🤗 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

Deep Learning for humans