Scientific Software
Updated 6 months ago

MLxtend — Peer-reviewed • Rank 26.9 • Science 95%

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack - Published in JOSS (2018)

Scientific Software
Updated 6 months ago

imodels — Peer-reviewed • Rank 21.0 • Science 100%

imodels: a python package for fitting interpretable models - Published in JOSS (2021)

Scientific Software
Updated 6 months ago

Multiblock PLS — Peer-reviewed • Rank 10.3 • Science 98%

Multiblock PLS: Block dependent prediction modeling for Python - Published in JOSS (2019)

Scientific Software
Updated 6 months ago

Ethome — Peer-reviewed • Rank 5.9 • Science 98%

Ethome: tools for machine learning of animal behavior - Published in JOSS (2024)

Engineering
Scientific Software · Peer-reviewed
Scientific Software
Updated 6 months ago

Scikit-Longitudinal — Peer-reviewed • Rank 10.7 • Science 93%

Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python - Published in JOSS (2025)

Updated 6 months ago

susi • Rank 5.8 • Science 77%

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Updated 6 months ago

paddlescience • Rank 15.3 • Science 67%

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Updated 6 months ago

hyperspectral-regression • Rank 4.4 • Science 77%

Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".

Scientific Software
Updated 6 months ago

pymccrgb — Peer-reviewed • Rank 4.0 • Science 67%

pymccrgb: Color- and curvature-based classification of multispectral point clouds in Python - Published in JOSS (2019)

Updated 6 months ago

nucml • Rank 7.4 • Science 59%

End-to-end python-based supervised machine learning pipeline for ML-augmented nuclear data evaluation.

Updated 6 months ago

tyc-dataset • Rank 2.3 • Science 54%

Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].

Updated 6 months ago

evodag • Rank 10.4 • Science 33%

Evolving Directed Acyclic Graph

Updated 6 months ago

temporal-link-prediction • Science 44%

Code used in `Supervised temporal link prediction in large-scale real-world networks'

Updated 6 months ago

pdll • Science 54%

Pairwise Difference Learning (PDL) is a meta-learning framework that leverages pairwise differences to transform multiclass problems into binary tasks. This repository includes the original PDL Classifier implementation, along with extended versions for regression and weighted learning scenarios.

Updated 6 months ago

https://github.com/ammarlodhi255/ml_spelled_out • Science 13%

Collection of notebooks and python code of various machine learning algorithms from scratch.

Scientific Software
Updated 6 months ago

PyCCEA — Peer-reviewed • Science 93%

PyCCEA: A Python package of cooperative co-evolutionary algorithms for feature selection in high-dimensional data - Published in JOSS (2025)

Updated 6 months ago

SLmetrics • Science 26%

A high-performance R :package: for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

Updated 6 months ago

auto-sklong • Science 49%

☂️ Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA

Updated 6 months ago

https://github.com/patrickzib/dictionary • Science 49%

WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification

Updated 6 months ago

imesc • Science 44%

This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.

Updated 6 months ago

opfgym • Science 57%

A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.