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3ml

The Multi-Mission Maximum Likelihood framework (3ML)

analyses_amon

Repository to save tests of different AMON analyses

astromodels

Spatial and spectral models for astrophysics

cocoon-paper

Codes to reproduce the plots in the cocoon paper.

cplusplus_exercises

Practicing C++

data_structures_and_algorithms

Some exercises from the Udacity course

haas-website

Personal page of Hugo A. Ayala Solares https://hugoayala.netlify.com

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hawc_hal

HAWC Accelerated Likelihood - python-only framework for HAWC data analysis

hayalaso.github.io

Portafolio

how_to_git

Quick reference on git commands

hugo-book

Hugo documentation theme as simple as plain book

ml_grb_detection

Some simple tests to perform GRB detection with machine learning

ml_playground

Playground for some ML projects

ml_scikit-learn_exercises

Working on ML exercises

naima

Derivation of non-thermal particle distributions through MCMC spectral fitting

natural-earth-vector

A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.

ops-challenges

pygcn

Python package for processing Gamma-ray Coordinates Network (GCN) notices and circulars

python-playground

root_pandas

A Python module for conveniently loading/saving ROOT files as pandas DataFrames

simple_nbody_problem

Simple nbody problem code

testing-branches

xcdf