Pinned Repositories
ComputoEvolutivo
Curso de 20 horas
cosmo_tools
Personal repository to save a mix of cosmological tools.
crann
(Under construction) Neural models for cosmological observations
DataScienceIntermedio
Curso intermedio de Ciencia de Datos (30 hrs)
IntroMCMC
Introducción al método Monte Carlo y a los métodos Monte Carlo vía Cadenas de Markov (MCMC). Código complementario a un artículo de divulgación publicado en el Boletín de Estadística e Investigación Operativa (BEIO).
MACS_2021_ML_basics_neural_networks
Mini-course about artificial neural networks as part of the lecture Machine Learning Basics in the IV Mexican School of AstroCosmostatistics (MACS).
neural_nets_utilities
Mix of utilities about neural networks
neuralike
Using machine learning to speed-up Bayesian inference.
nnogada
Neural Networks Optimized by Genetic Algorithms for Data Analysis
SimpleMC
Updated version of a simple MCMC code for cosmological parameter estimation where only expansion history matters.
igomezv's Repositories
igomezv/nnogada
Neural Networks Optimized by Genetic Algorithms for Data Analysis
igomezv/neural_nets_utilities
Mix of utilities about neural networks
igomezv/crann
(Under construction) Neural models for cosmological observations
igomezv/DataScienceIntermedio
Curso intermedio de Ciencia de Datos (30 hrs)
igomezv/IntroMCMC
Introducción al método Monte Carlo y a los métodos Monte Carlo vía Cadenas de Markov (MCMC). Código complementario a un artículo de divulgación publicado en el Boletín de Estadística e Investigación Operativa (BEIO).
igomezv/neuralike
Using machine learning to speed-up Bayesian inference.
igomezv/ComputoEvolutivo
Curso de 20 horas
igomezv/cosmo_tools
Personal repository to save a mix of cosmological tools.
igomezv/RazonamientoProbabilistico
Curso de 10 horas
igomezv/SimpleMC
Updated version of a simple MCMC code for cosmological parameter estimation where only expansion history matters.
igomezv/cosmo_ML_regressions
igomezv/ANN_Nbody
Follow up on the initial testing of Dark matter particle classification in a Nbody dataset
igomezv/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
igomezv/cardiovascular_patterns
igomezv/diffusion
Denoising Diffusion Probabilistic Models
igomezv/Enhancing-Deep-Learning-with-Bayesian-Inference
Enhancing Deep Learning with Bayesian Inference, published by Packt
igomezv/Estad-stica
igomezv/HerramientasComputacionales
igomezv/HPC_II
II High Performance Computing Workshop Repository
igomezv/igomezv
igomezv/igomezv.github.io
Personal website
igomezv/LSST_DE_neural_reconstruction
igomezv/mcmcTools
A mix of scripts and notebooks about bayesian inference with nested sampling, metropolis-hastings and emcee. Also some plot tools.
igomezv/normalizing-flows
PyTorch implementation of normalizing flow models
igomezv/oscillator_neuralnet
Solución del oscilador armónico simple con una red neuronal
igomezv/PhySO
Physical Symbolic Optimization
igomezv/Reconstructing-RC-with-ANN
igomezv/rv_net
igomezv/simplemc_tests
Personal copy of the SimpleMC cosmological parameter estimation code from: https://github.com/ja-vazquez/SimpleMC . In this current repository I do some personal tests and experiments before contributing to the original source.
igomezv/VAE_NBody
VAE tests of Nbody dark matter simulation projections