David's repositories
article_msc_degree
Article from my master thesis in computer science
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
js_data
Data manipulation and processing in JavaScript
Learning-from-Data-Solutions
Repository of my solutions to the problems of "Learning from Data"
mmd-dro-code
Accompanying code for our NeurIPS 2019 paper
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 ;)
Regularization-via-Transportation
Source files for our regularization paper!
retro
Retro Games in Gym
Riemannian_Geometry_of_Deep_Generative_Models
This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on two datasets namely MNIST and CelebA.
SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks