Classical Machine Learning Frameworks

General-purpose libraries for traditional (non-deep) machine learning — regression, classification, clustering and preprocessing — embedded as code in your own application.

44 projects

See methodology for ranking rules; order uses public GitHub metrics within this scenario.

1–20 of 44

Rank Project Stars Forks
1 scikit-learn

scikit-learn: machine learning in Python

67.1K 27.3K
2 pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

10.0K 1.5K
3 dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

8.3K 1.1K
4 umap

Uniform Manifold Approximation and Projection

8.3K 869
5 imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

7.1K 1.4K
6 mlpack

mlpack: a fast, header-only C++ machine learning library

5.7K 1.7K
7 cuml

NVIDIA cuML: GPU-Accelerated Machine Learning

5.3K 658
8 linfa

A Rust machine learning framework.

4.7K 337
9 PySR

High-Performance Symbolic Regression in Python and Julia

3.7K 347
10 lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

3.3K 365
11 mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

3.3K 451
12 stats

A well tested and comprehensive Golang statistics library package with no dependencies.

3.0K 175
13 hdbscan

A high performance implementation of HDBSCAN clustering.

3.1K 534
14 Turing.jl

Bayesian inference with probabilistic programming.

2.2K 242
15 causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

2.5K 290
16 feature_engine

Feature engineering and selection open-source Python library compatible with sklearn.

2.3K 370
17 ML

A high-level machine learning and deep learning library for the PHP language.

2.2K 193
18 AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

2.2K 259
19 MLJ.jl

A Julia machine learning framework

1.9K 160
20 GPflow

Gaussian processes in TensorFlow

1.9K 432
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