imodels
imodels: a python package for fitting interpretable models - Published in JOSS (2021)
Ethome
Ethome: tools for machine learning of animal behavior - Published in JOSS (2024)
susi
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
paddlescience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
hyperspectral-regression
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".
xcsf
XCSF learning classifier system: rule-based online evolutionary machine learning
tyc-dataset
Official and maintained implementation of the dataset paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023].
opfgym
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.
temporal-link-prediction
Code used in `Supervised temporal link prediction in large-scale real-world networks'
pdll
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.
imesc
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
ml-oneday-course
This is a one-day machine learning introductory course for beginners