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/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).
igomezv/GaPP
Gaussian Processes GaPP code auxiliary repository
igomezv/RAsolidsrev
Augmented Reality for revolution solids. Didactic app for Android smartphones.
igomezv/simplemc_workshop
Brief tutorial on the SimpleMC code for cosmological parameter estimation.
igomezv/anesthetic
Nested Sampling post-processing and plotting
igomezv/astroABC
Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
igomezv/astroNN
Deep Learning for Astronomers with Tensorflow
igomezv/Bayesian-Analysis-with-Python
Bayesian Analysis with Python by Packt
igomezv/cardio_dosis
Análisis de datos de un historial médico con PCA y clustering. Código del trabajo publicado M R Toledo et al 2021 J. Phys.: Conf. Ser. 1723 012034
igomezv/CDE_with_BNF
Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows
igomezv/clase_ConvNets
Mini-lecture of conv nets
igomezv/codingscode
Heronnes Pereira
igomezv/cosmology_on_beach_2022
igomezv/DLCIMATAGS
Slides and notebooks for the Deep Learning lecture at CIMAT-Ags (spanish)
igomezv/exoplanet-ml
Machine learning models and utilities for exoplanet science.
igomezv/forecasting-course
Morgan Ernest & Ethan White's Ecological Dynamics & Forecasting Course
igomezv/GenerativeModels_19
Deep Generative Models (VAE/GAN) por Benjamin Sanchez-Lengeling
igomezv/gnn_workshop_riiaa
Workshop for GNN at RIIAA
igomezv/gw-intro
A short introduction to working with gravitational wave data.
igomezv/H0_tension
A fancy way to represent the tension between Hubble constant measurements
igomezv/High_Performance_Computing_Workshop
Repositorio del taller High Performance Computing in Science and Engineering
igomezv/machine_learning_examples
A collection of machine learning examples and tutorials.
igomezv/mathTools
igomezv/MCEvidence
A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)
igomezv/neuralCosmoReconstruction
igomezv/PolyChordLite
Public version of PolyChord: See polychord.co.uk for PolyChordPro
igomezv/pyncare
Python package to solve and plot dynamical systems
igomezv/Python
All Algorithms implemented in Python
igomezv/refann
A nonlinear interpolating tool based on ANN