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GUI for marking bounded boxes of objects in images for training neural network YOLO
Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics
The macOS quicklook plugin for FITS files.
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
Neural Networks: Zero to Hero
Tool for Rating Interesting Candidate Exoplanets and Reliability Analysis of Transits Originating from Proximate Stars
Archivos geojson de todas las comunas y regiones de Chile
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code to correct JD to HJD or BJD_TDB
Fast & scalable Gaussian Processes in one dimension
Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
Flexible photometric transit curves with limb darkening
A tool for light curve extraction from the TESS FFIs.
Namaste: an Mcmc Analysis of Single Transiting Exoplanets
allesfitter is a convenient wrapper around the packages ellc (light curve and RV models), dynesty (static and dynamic nested sampling) emcee (Markov Chain Monte Carlo sampling) and celerite (Gaussi…
Course Material for the Code/Astro Workshop
The (Exoplanet Detection Identifier) EDI-Vetter is the rock'n roll love child of Terra and RoboVetter, optimized to vet K2 transit signals.
Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Lesson files for Practical Applications in R for Psychologists.
Material docente del curso Recuperación de Información Multimedia
A friendly package for Kepler & TESS time series analysis in Python.
