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Projects in Awesome Lists by FabricioArendTorres

A curated list of projects in awesome lists by FabricioArendTorres .

https://github.com/fabricioarendtorres/flowconductor

(Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.

bijective-maps flow neural-network normalizing normalizing-flow python pytorch

Last synced: 21 Mar 2025

https://github.com/fabricioarendtorres/burgers_equation_analytical_1d_2d

Analytical burgers equation in 1d and 2d over time. Also analytical fundamental heat and fokkerplanck equation in 3d.

Last synced: 02 Mar 2025

https://github.com/FabricioArendTorres/burgers_equation_analytical_1d_2d

Analytical burgers equation in 1d and 2d over time. Also analytical fundamental heat and fokkerplanck equation in 3d.

Last synced: 13 Feb 2025

https://github.com/fabricioarendtorres/bayesian-lasso-regression-simulated-annealing

Implementation of Simulated Annealing for the Bayesian LASSO.

Last synced: 02 Mar 2025

https://github.com/fabricioarendtorres/clc-codes

Description of CORINE Land-Cover Codes in a CSV.

Last synced: 02 Mar 2025

https://github.com/fabricioarendtorres/dirichletsvgp

Stochastic Variational Gaussian Process for fractions using a Dirichlet likelihood. Based on GPFlow.

Last synced: 02 Mar 2025

https://github.com/FabricioArendTorres/Bayesian-LASSO-Regression-Simulated-Annealing

Implementation of Simulated Annealing for the Bayesian LASSO.

Last synced: 13 Feb 2025

https://github.com/fabricioarendtorres/bayesianmarkovblanket

Gibbs sampler and Simulated Annealing for Bayesian Markov Blanket estimation.

Last synced: 02 Mar 2025

https://github.com/fabricioarendtorres/geo_script

A collection of useful scripts for dealing with geotiffs, geopackages, and similar stuff.

Last synced: 05 Apr 2025

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 27 Mar 2025