Machine Learning Algorithms Python Packages

hdbscan

A high performance implementation of HDBSCAN clustering.

tslearn

The machine learning toolkit for time series analysis in Python

libcuml-cu12

NVIDIA cuML: GPU-Accelerated Machine Learning

cuml-cu12

NVIDIA cuML: GPU-Accelerated Machine Learning

scikit-learn-intelex

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

daal

oneAPI Data Analytics Library (oneDAL)

daal4py

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

node2vec

Implementation of the node2vec algorithm.

abstractintegratedmodule

[~] IntegratedPipeline is a standalone AI Agent Library for Non-LLM memory Augmented Agentic Framework, Specifically designed to provide Agentic capability for any Autonomous Agentic Framework locally and Coordinatively that runs efficiently on small embedded systems to High end embedded systems, While continuously learning and runs efficiently.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

deadwood

Deadwood: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees

libpecos

PECOS - Prediction for Enormous and Correlated Spaces

suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

quitefastmst

quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

libcuml-cu13

NVIDIA cuML: GPU-Accelerated Machine Learning

lumbermark

Lumbermark: Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees

cuml-cu13

NVIDIA cuML: GPU-Accelerated Machine Learning

genieclust

Genie: Fast and Robust Hierarchical Clustering

orange3-educational

🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.

boostaroota

A fast xgboost feature selection algorithm

matplobblib

The library provides a set of tools and functions for various subject areas, including Analysis and Data Structures (AISD), Probability Theory and Mathematical Statistics (TViMS), Machine Learning (ML), and Numerical Methods (NM).

scikit-learn-intelex-gpu

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

daal-gpu

oneAPI Data Analytics Library (oneDAL)