Miguel Aragon's repositories
Practical-AI-Astronomy
A series of live coding sessions on applications of Deep Learning in astronomy
Lagrangian-Sheet-Density-Estimator
A CPU multi-threaded implementation of the Lagrangian Sheet Field Estimation method
SDSS_fits_cutout
Easy download cutout fits images from SDSS
Semantic-Autoencoder-Paper
This is the code for the paper: Self-supervised Learning with Physics-aware Neural Networks I: Galaxy Model Fitting
NeuronMaker
Unity project for procedural Neuron Generation
VoronoiVolumes
Compute Voronoi 3D fields from a set of seeds
Fast-densities
Compute density of particles for Gaussian and top-hat windows
ImageCleaning
A surprisingly good cleaning algorithm using an ensemble of Montecarlo-sampled Delaunay Tessellations
Store-images-in-SQLite
Storing compressed images in SQLite with python
DeepAstroDB
Astronomical Database and library for interactive training of deep neural networks
dl4astro
Star-galaxy Classification Using Deep Convolutional Neural Networks
Gadget-IC-tools
Some utilities for initial conditions
GalSim
The modular galaxy image simulation toolkit
GPU_functions
Call CUDA functions to compute gravitational potentials from IDL
Intro-to-keras
Intro to keras. This is just the machineleaningmastery.com post on MNIST wrapped in a jupyter notebook for some live coding tutorials. I also added a modification to do classification as a regression on the dense network
mesh-presentation
Procedural meshes in Unity, ooh jeaaah
MySQL_tutorials
Tutorial describing IDL-python bridge to access mySQL database
NASA_ADS_scraper
Simple web scraper for citations retrieving from NASA ADS
ParticleMesh_2D
Particle Mesh N-body code (original by Johan Hidding), CPU and GPU versions, also smooth initial conditions
Stochastic-DTFE
Stochastically perturb a Delaunay tessellation for anisotropic filtering
unity_native_particles
External C++ OpenGL particle rendering for Unity3D.
Zeldovich2D
Zeldovich approximation in 2D