spinaotey

avo_tf

Adversarial Variational Optimization algorithm implemented in Tensorflow

maf_tf

Masked Autoregressive Flow - Tensorflow Implementation

snl_tf

Sequential Neural Likelihood - Tensorflow Implementation

MScThesisML2HEP

Set of notebooks used for my master thesis entitled "Machine Learning Techniques Applied to High Energy Physics"

sph1D

Smoothed Particle Hydrodynamics in one spatial dimension (MSc. Theoretical Physics)

a-star

A-star algorithm implementation for finding the shortest route (MSc. Modelling for Science and Technology)

AStar-Algorithm

bh2d

Barnes-Hut Algorithm in 2D (MSc. Theoretical Physics)

ClearCodeGodotTutorial

GAPictureCompression

Genetic Algorithm applied to compress and render a picture using polygons (MSc. Modelling for Science and Technology)

GAPictureCompression2

Genetic Algorithm applied to compress and render a picture using polygons with C (MSc. Modelling for Science and Technology)

graphSAGE-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

mpilab1

First contact to MPI to compute Pi (MSc. Modelling for Science and Technology)

NAF

Experiments for the Neural Autoregressive Flows paper

naf_tf

Neural Autoregressive Flows - Tensorflow Implementation

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

project-baseball

Project proposed by Intro to Data Analysis course of Udacity to put into practice Numpy and Pandas.

snl

Sequential Neural Likelihood

tensorflow

Computation using data flow graphs for scalable machine learning

TMDbAnalysis

TMDb open data analysis (MSc. Modelling for Science and Technology)