Centre for Artificial Intelligence Research (CAIR) (cair)

Centre for Artificial Intelligence Research (CAIR)

cair

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CAIR is a centre for research excellence on artificial intelligence at the University of Agder. We attack unsolved problems, seeking superintelligence.

Location:Grimstad, Norway

Home Page:https://cair.uia.no/

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Centre for Artificial Intelligence Research (CAIR)'s repositories

TsetlinMachine

Code and datasets for the Tsetlin Machine

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deep-rts

A Real-Time-Strategy game for Deep Learning research

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pyTsetlinMachine

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

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.

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pyVNC

VNC Client Library for Python

PyTsetlinMachineCUDA

Massively Parallel and Asynchronous Architecture for Logic-based AI

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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.

awesome-tsetlin-machine

A curated list of Tsetlin Machine research

deep-warehouse

A Simulator for complex logistic environments

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TM-XOR-proof

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

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tmu-datasets

A dataset repository for datasets in tmu

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nix-tts

🐤 Nix-TTS: An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation

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DeepAxie

Implementation of a simplified Axie Infinity Environment in C++ that is used to train an agent with the reinforcement learning algorithm DQN to play the game.

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ray-bugfix

A workaround to issues with Rllib, given it does not work for your current gym environment. CarRacing-v0 is one of these.

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An-Optimized-Toolbox-for-Advanced-Image-Processing-with-Tsetlin-Machine-Composites

An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites

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CorrEmbed_Evaluating_Pre-trained_Model_Efficacy

Code for the paper "CorrEmbed: Evaluating Pre-trained Model Efficacy with a Novel Metric Integrating Image Embedding and Tag Correlation"

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patchformer

PatchFormer - Improved dense predictions using implicit representation learning

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Plug-and-Play-Collaboration-Between-Specialized-Tsetlin-Machines

Plug-and-play collaboration between specialized Tsetlin machines

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PyCoalescedTsetlinMachineCUDA

PyCUDA implementation of the Coalesced Multi-Output Tsetlin Machine

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PyFullSparseCoalescedTsetlinMachineCUDA

PyCUDA implementation of the Coalesced Multi-Output Tsetlin Machine

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PySparseCoalescedTsetlinMachineCUDA

PyCUDA implementation of the Coalesced Multi-Output Tsetlin Machine

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