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PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.

Data Structure Algorithms, (GenAI/ML) System Design, Machine Learning, DevOps coding interview practices

Machine learning framework for both deep learning and traditional algorithms

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Machine learning algorithms for many-body quantum systems

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms