AI Agent Skills

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

Natural Gradient Boosting for Probabilistic Prediction

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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.

Machine learning on FPGAs using HLS

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask,…

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

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

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

🤗 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

Optax is a gradient processing and optimization library for JAX.