Gaussian processes in TensorFlow
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Updated
Jul 29, 2024 - Python
Gaussian processes in TensorFlow
POD K in Real-Time Aeroelastic Pre-design Problem
StandardGP symbolic regression algorithm
Integrating Local Search within neat-GP.
Tunafish is a high-level genetic algorithm/programming-based function auto-tuning toolkit. It figures out what the best arguments to a function should be to optimize its output with respect to an arbitrary fitness function, like a distance measure.
Data, scripts, and an (old) version of the GP system used to generate the nonlinear models modelling the fMRI data. Results publiched in CIBCB 2017.
R.I.T project
Sequence GC ratios and skew calculations
Calculating probabilities of sequences transforms with evolution model in time
A phylogenetic pipeline for inferring a species/genome tree from a set of genomes by clustering, inferring gene families and their trees
Evolution models simulations
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