Skip to content
View igomezv's full-sized avatar

Highlights

  • Pro

Block or report igomezv

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
igomezv/README.md

Research interests: Bayesian inference, deep learning, and statistical methods for astrophysical data analysis, with applications to cosmology, exoplanets, and stellar activity.

Profile Summary

Pinned Loading

  1. ja-vazquez/SimpleMC ja-vazquez/SimpleMC Public

    Updated version of a simple MCMC code for cosmological parameter estimation where only expansion history matters.

    Python 32 31

  2. nnogada nnogada Public

    Neural Networks Optimized by Genetic Algorithms for Data Analysis

    Python 7 1

  3. doppleriann doppleriann Public

    Doppler-shift Inference with Artificial Neural Networks using Radial Velocity data

    Python 1

  4. neuralike neuralike Public

    Deep learning and genetic algorithms to speed-up Bayesian inference.

    Python 1

  5. ALP ALP Public

    Astro Layer Perceptron: nonparametric cosmological reconstructions with ANN

    Python 2 1

  6. MACS_2021_ML_basics_neural_networks MACS_2021_ML_basics_neural_networks Public

    Mini-course about artificial neural networks as part of the lecture Machine Learning Basics in the IV Mexican School of AstroCosmostatistics (MACS).

    Jupyter Notebook 5 20