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igomezv/README.md

Research interests: Bayesian inference, artificial neural networks, machine learning, and astrophysics/cosmology.

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  1. ja-vazquez/SimpleMC Public

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

    Python 25 16

  2. nnogada Public

    Neural Networks Optimized by Genetic Algorithms for Data Analysis

    Python 7 1

  3. neuralike Public

    Using machine learning to speed-up Bayesian inference.

    Python 2

  4. 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 4 20

  5. IntroMCMC Public

    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 Investigació…

    Jupyter Notebook 2 1

  6. DataScienceIntermedio Public

    Curso intermedio de Ciencia de Datos (30 hrs)

    Jupyter Notebook 2 1

1,288 contributions in the last year

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Activity overview

Loading A graph representing igomezv's contributions from January 21, 2024 to January 23, 2025. The contributions are 99% commits, 1% issues, 0% pull requests, 0% code review.   Code review 1% Issues   Pull requests 99% Commits

Contribution activity

January 2025

Created 3 commits in 2 repositories
98 contributions in private repositories Jan 2 – Jan 23
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