Machine learning @ Transitional Artificial Intelligence Research Group
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deeplearning_timeseries
deeplearning_timeseries PublicEvaluation of shallow and deep learning models for multi-step-ahead time series prediction
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Bayesianneuralnetworks-MCMC-tutorial
Bayesianneuralnetworks-MCMC-tutorial PublicBayesian neural networks via MCMC: tutorial
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airpollution_deeplearning
airpollution_deeplearning PublicDeep learning for prediction of air pollution trend in India
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Bayesianneuralnet_stockmarket
Bayesianneuralnet_stockmarket PublicBayesian neural network with Parallel Tempering MCMC for Stock Market Prediction
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MEHH_RCPSP
MEHH_RCPSP PublicMAP-Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem
Repositories
- cyclonedata-SST-GCM Public
Dataset featuring cyclone with sea-surface temperature (SST) history using general circulation model (GCM)
sydney-machine-learning/cyclonedata-SST-GCM’s past year of commit activity - quantiledeeplearning Public
Quantile Deep learning models for multi-step ahead time series prediction
sydney-machine-learning/quantiledeeplearning’s past year of commit activity - pt-bayesian-neuroevolution Public
Bayesian neuroevolution using distributed swarm optimisation and tempered MCMC
sydney-machine-learning/pt-bayesian-neuroevolution’s past year of commit activity - multicriteria-recommendersys Public
sydney-machine-learning/multicriteria-recommendersys’s past year of commit activity - autoencoders_remotesensing Public
Dimentionality reduction framework with autoencoders for mineral exploration
sydney-machine-learning/autoencoders_remotesensing’s past year of commit activity - translationanalysis-Mandarin Public
Translation analysis of selected Mandarin texts using sentiment and sentiment analyses
sydney-machine-learning/translationanalysis-Mandarin’s past year of commit activity
