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Mariano_Javier_de_Leon_Dominguez_Romero's Projects

slsprinkler icon slsprinkler

Add strongly lensed AGN and SNe to simulated catalogs

stackclub icon stackclub

Learning the LSST software Stack, by writing jupyter notebook tutorials.

supreme icon supreme

suprême: Survey Propêrty Maps with healsparse

survey_strategy icon survey_strategy

A collection of information relevant to the 2018 call for white papers on survey strategy

tails icon tails

Tails: chasing comets with ZTF and deep learning

tensorflow icon tensorflow

Open source software library for numerical computation using data flow graphs.

tez icon tez

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.

tng_manga_mocks icon tng_manga_mocks

This is the code used for the MaNGIA's data release (Sarmiento+ 2022)

torchkan icon torchkan

An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations

torchopt icon torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

torchsde icon torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

trackstream icon trackstream

Characterize a stream track with minimal knowledge.

tutorial-notebooks icon tutorial-notebooks

Tutorial Jupyter Notebooks for Data Preview 0, created and maintained by the Rubin Observatory Community Engagement Team.

tvm icon tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

ubc-stat545 icon ubc-stat545

My first 12 months with R, mostly through a UBC course and my own experiments

ugali icon ugali

Ultra-faint galaxy likelihood toolkit

uwswc-2022-01 icon uwswc-2022-01

A repository for the UW Software Carpentry Winter 2022 Course

vizic icon vizic

A Jupyter-based Interactive Visualization Tool for Astronomical Catalogs

zeus21 icon zeus21

Zeus21: Lightning-fast simulations of cosmic dawn

zhusuan icon zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow

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