Centre for Artificial Intelligence Research (CAIR)

pyTsetlinMachineParallel

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

machine-learning regression classification convolution propositional-logic bandit-learning frequent-pattern-mining

C 2 22 1 0 Updated Sep 21, 2020

pyTsetlinMachine

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

machine-learning regression classification convolution propositional-logic bandit-learning embedding

C MIT 11 64 1 1 Updated Sep 21, 2020

PyTsetlinMachineCUDA

Massively Parallel and Asynchronous Architecture for Logic-based AI

gpu cuda regression classification convolution logic-based-artificial-intelligence tsetlin-machine

Python MIT 0 30 1 0 Updated Sep 21, 2020

TsetlinMachine

The code and datasets for the Tsetlin Machine

machine-learning game-theory pattern-recognition propositional-logic bandit-learning frequent-pattern-mining learning-automata

Python MIT 29 316 0 0 Updated Sep 21, 2020

Fire-Scene-Parsing

0 1 0 0 Updated Jun 21, 2020

deep-line-wars-2

C++ 0 1 0 0 Updated Apr 27, 2020

deep-line-wars

Python 0 1 0 1 Updated Apr 16, 2020

deep-rts

A Real-Time-Strategy game for Deep Learning research

python machine-learning reinforcement-learning deep-learning cpp deep-reinforcement-learning neural-networks

C++ MIT 7 81 4 (1 issue needs help) 0 Updated Apr 14, 2020

convolutional-tsetlin-machine-tutorial

Tutorial on the Convolutional Tsetlin Machine

convolution pattern-recognition propositional-logic bandit-learning frequent-pattern-mining rule-based interpretable-machine-learning

Python MIT 10 36 0 0 Updated Mar 26, 2020

deep-maze

Python 8 13 1 0 Updated Jan 8, 2020

Fire-Detection-Image-Dataset

This dataset contains normal images and images with fire. It is highly unbalanced to reciprocate real world situations. It consists of a variety of scenarios and different fire situations (intensity, luminosity, size, environment etc).