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Machine Learning Models Python Packages

Python packages with the GitHub topic machine-learning-models. Sorted by relevance, with stars and monthly downloads.
Micro-Novelty
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 Consumer based machine to High end embedded systems, While continuously learning and runs efficiently.

40K 8 2
MasemeneMatlakanaBenny
mini-causal

A machine learning decision intelligence framework that helps practitioners understand how feature changes influence model behavior, performance and business decisions

3K 1 0
cod3licious
autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

2K 542 66
SDM-TIB
interpretme

An interpretable machine learning pipeline over knowledge graphs

508 27 2
omadson
scikit-mlm

Minimal Learning Machine implementation using the scikit-learn API.

468 10 1
safir72347
classic-id3-decisiontree

ID3 is a Machine Learning Decision Tree Classification Algorithm that uses two methods to build the model. The two methods are Information Gain and Gini Index.

335 3 1
thomas-young-2013
soln-ml

Soln-ML: Towards Self-Learning AutoML System.

153 60 28
thomas-young-2013
mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

148 60 28
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