pablonavarrob

analysis-of-stellar-spectra

Code of the final project for the course "Foundations of Data Science" from the Master's at University of Hertfordshire. Analysis of Stellar Spectra with Lorentz+linear model and Random Forest classifications. Data is not included, use the provided query to access the RAVE data directly from the website.

binary-population-synthesis

Generates a population of binary stars according to a series of constraints from the literature.

Cycle_SN

Generative and Interpretable Deep Learning for Stellar Spectra

efficient-discovery-of-binary-stars

Code of my Master's Thesis for Lund University with the title "Efficient discovery of binary stars".

herts_master

Code for the Master's Project at Hertfordshire University

k-nearest-neighbors-R

Implementation of k-Nearest Neighbors algorithm from scratch in R.

planetary-collision-3D-SPH

Simulate planetary collisions using smoothed particle hydrodynamics in 3D. Data is not provided.

RK4-orbital-integrator

Implementation of a Runge-Kutta 4 integrator for planetary orbits using only numpy.

scrapy-Boston-restaurants-TripAdvisor

Web scraping with scraPy of all the restaurants in Boston as given by the website TripAdvisor.

shocktube-test-1D-SPH

Shock-tube test using smoothed particle hydrodynamics in 1-D

pablonavarrob/shocktube-test-1D-SPH

Shock-tube test using smoothed particle hydrodynamics in 1-D

pablonavarrob/planetary-collision-3D-SPH

Simulate planetary collisions using smoothed particle hydrodynamics in 3D. Data is not provided.

pablonavarrob/efficient-discovery-of-binary-stars

Code of my Master's Thesis for Lund University with the title "Efficient discovery of binary stars".

pablonavarrob/analysis-of-stellar-spectra

Code of the final project for the course "Foundations of Data Science" from the Master's at University of Hertfordshire. Analysis of Stellar Spectra with Lorentz+linear model and Random Forest classifications. Data is not included, use the provided query to access the RAVE data directly from the website.

pablonavarrob/binary-population-synthesis

Generates a population of binary stars according to a series of constraints from the literature.

pablonavarrob/Cycle_SN

Generative and Interpretable Deep Learning for Stellar Spectra

pablonavarrob/herts_master

Code for the Master's Project at Hertfordshire University

pablonavarrob/k-nearest-neighbors-R

Implementation of k-Nearest Neighbors algorithm from scratch in R.

pablonavarrob/RK4-orbital-integrator

Implementation of a Runge-Kutta 4 integrator for planetary orbits using only numpy.

pablonavarrob/scrapy-Boston-restaurants-TripAdvisor

Web scraping with scraPy of all the restaurants in Boston as given by the website TripAdvisor.

pablonavarrob/image-quantization

Simple code to reduce the dimensions (colors) from an image. Uses k-means clustering to perform the analysis. Results and test image are given.

pablonavarrob/k-means_python

Simple implementation of the k-means clustering algorithm in Python using for loops. Vectorization work is needed..

pablonavarrob/lomb-scargle-periodogram

Python implementation of the Lomb Scargle periodogram.

pablonavarrob/pablonavarrob

pablonavarrob/pca-test-r

Simple implementation of Principal Component Analysis (PCA) as part of the R learning process.

pablonavarrob/spotify-now-playing

Dynamic realtime profile ReadMe linked with spotify

pablonavarrob/stock-data-tSNE

Analysis of log returns from stock market data using Python and dimensionality reduction (t-distributed stochastic neighbor embedding, t-SNE)

pablonavarrob/tf_selfstudy

Files for the self study of Deep Learning using Tensorflow 2.0

pablonavarrob/trichromatic_merger

Bash/Python script to call libraw and image magick for the linearization and merging of raw files into trichromatic tiffs. To use together with G2P.