Scikit Learn Compatible

cuMLPython

A suite of GPU-accelerated machine learning algorithms with scikit-learn compatible APIs for 10-50x faster performance on large datasets.

MLxtendPython

A Python library providing extensions and utilities for data science and machine learning tasks.

tslearnPython

A Python machine learning toolkit for time series analysis with scikit-learn compatible API.

hyperlearnJupyter Notebook

HyperLearn provides 2-2000x faster machine learning algorithms with 50% less memory usage, optimized for all hardware.

ThunderSVMC++

A fast Support Vector Machine (SVM) library that leverages GPUs and multi-core CPUs for high-performance machine learning.

pystructPython

A Python library for structured learning and prediction with max-margin methods and a scikit-learn compatible interface.

skproPython

A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.

scikit-mdrPython

A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.