Multiblock PLS
Multiblock PLS: Block dependent prediction modeling for Python - Published in JOSS (2019)
LightTwinSVM
LightTwinSVM: A Simple and Fast Implementation of Standard Twin Support Vector Machine Classifier - Published in JOSS (2019)
scikit-maad
Open-source and modular toolbox for quantitative soundscape analysis in Python
xeofs
xeofs: Comprehensive EOF analysis in Python with xarray - Published in JOSS (2024)
tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
colibri-core
Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.
pcpr
An R package implementing Principal Component Pursuit for pattern recognition in environmental health.
https://github.com/adamouization/binary-image-classifier
:black_large_square: :white_large_square: Binary Image Classifier using Gaussian Mixture Models written in MatLab (2017)
teaching
Teaching Materials for Dr. Waleed A. Yousef
pygrinder
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing
https://github.com/cair/convolutional-tsetlin-machine-tutorial
Tutorial on the Convolutional Tsetlin Machine
ecg_classification
Official and maintained implementation of the paper "Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning" (ECG-DualNet) [Physiological Measurement 2022, EMBC 2023].
https://github.com/cair/fast-tsetlin-machine-in-cuda-with-imdb-demo
A CUDA implementation of the Tsetlin Machine based on bitwise operators
nuggets
R package for searching of patterns in subspaces described with elementary conjunctions
https://github.com/cair/tsetlinmachine
Code and datasets for the Tsetlin Machine
prediction
Algorithms to predict, classify and analyze features and labels of Scrum data
https://github.com/cair/fast-tsetlin-machine-with-mnist-demo
A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
metaboverse
Visualization and analysis platform for metabolic data and network pattern recognition