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A command-line tool for data-driven fuzzy modelling
Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable)
Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable
Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms
HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat suitability in various discharge scenarios in a simulated river reach. ...
A simple command line tool for text to image generation
...You can set the number of classes that you wish to restrict Big Sleep to use for the Big GAN with the --max-classes flag as follows (ex. 15 classes). This may lead to extra stability during training, at the cost of lost expressivity.