Name: Mariano_Javier_de_Leon_Dominguez_Romero
Type: User
Company: IATE (OAC-UNC-CONICET)
Bio: Trying to understand the dark sector using Astrostatistics. Data Science for Sustainable Development.
Twitter: marianojavierd1
Location: Cordoba, Argentina
Blog: https://www.researchgate.net/profile/Mariano_Dominguez
Mariano_Javier_de_Leon_Dominguez_Romero's Projects
Python scraper based on AI
Get E(B-V) values from SFD dust map data
Manipulation and analysis of geometric objects
Fully reproducible, open source scientific articles in LaTeX.
new clustering method
Silkscreen: Using artpop and sbi to measure distance to galaxies directly from their images
Repository for sky-subtraction routines to preserve LSB features, including tests with mock data
Mapping astronomical survey data on the sky, handsomely
modern version of simsurvey to simulate transients withing the sky
Sledgehamr is an AMReX-based code package to simulate the dynamics of coupled scalar fields on a 3-dimensional adaptive mesh.
Strong lensing simulation pipeline
Add strongly lensed AGN and SNe to simulated catalogs
Code for Lie Symmetries SSL paper
Learning the LSST software Stack, by writing jupyter notebook tutorials.
Stereographically Projected Cosmological Simulations
Quantifying stellar stream membership with probabilistic models
suprême: Survey Propêrty Maps with healsparse
A collection of information relevant to the 2018 call for white papers on survey strategy
Fast tree code to computes clustering estimates for very large data sets, based on hierarchical and parellelized “divide and conquer” algorithms. Does resampling (bootstrap and jackknife) on the fly.
Codes and Data for ACL 2024 Paper "Faithful Logical Reasoning via Symbolic Chain-of-Thought".
Tails: chasing comets with ZTF and deep learning
Open source software library for numerical computation using data flow graphs.
TensorFlow tutorials and code examples for beginners
Lone Wolf Project
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
Adversarial networks in TensorFlow
Tools for ML/Tensorflow on Kubernetes.
This is the code used for the MaNGIA's data release (Sarmiento+ 2022)
An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations
A parallel ODE solver for PyTorch