sghalebikesabi

A-Comparative-Study-on-Graph-Convolutional-Networks

This project aims to compare three types of GCNs (plain GCNs, Graph Attention Networks and FastGCN) in a large-scale simulation study with respect to accuracy, memory and computational complexity.

autoregressive-bayesian-predictives

beta-bayes-ops

CMT2PMLR-Generator

The scripts to generate bibtex files and the corresponding pdfs for PMLR

Does-VI-work

This is the code for the micro-project 'Variational Inference: ”Does it work?”'. This project is part of the StatML CDT at University of Oxford and Imperial College London.

gmm-vae-clustering-pytorch

Pytorch implementation of a Gaussian Mixture Variational Autoencoder used for clustering of the MNIST data set.

nshap

Code accompanying 'On Locality of Local Explanation Models'

PSMVAE

Deep generative pattern-set mixture models for missingness imputation

Tag-Recommendation-in-StackOverflow

Project work submitted as part of the MSc Statistics course on Bayesian Machine Learning at the London School of Economics and Political Science

Time-Series-versus-Cross-Sectional-Momentum

Project as part of a term paper in my undergraduate studies

sghalebikesabi/A-Comparative-Study-on-Graph-Convolutional-Networks

This project aims to compare three types of GCNs (plain GCNs, Graph Attention Networks and FastGCN) in a large-scale simulation study with respect to accuracy, memory and computational complexity.

sghalebikesabi/PSMVAE

Deep generative pattern-set mixture models for missingness imputation

sghalebikesabi/gmm-vae-clustering-pytorch

Pytorch implementation of a Gaussian Mixture Variational Autoencoder used for clustering of the MNIST data set.

sghalebikesabi/Time-Series-versus-Cross-Sectional-Momentum

Project as part of a term paper in my undergraduate studies

sghalebikesabi/beta-bayes-ops

sghalebikesabi/Does-VI-work

This is the code for the micro-project 'Variational Inference: ”Does it work?”'. This project is part of the StatML CDT at University of Oxford and Imperial College London.

sghalebikesabi/nshap

Code accompanying 'On Locality of Local Explanation Models'

sghalebikesabi/Tag-Recommendation-in-StackOverflow

Project work submitted as part of the MSc Statistics course on Bayesian Machine Learning at the London School of Economics and Political Science

sghalebikesabi/autoregressive-bayesian-predictives

sghalebikesabi/CMT2PMLR-Generator

The scripts to generate bibtex files and the corresponding pdfs for PMLR

sghalebikesabi/Comparison-Study-of-Statistical-Machine-Learning-Methods-for-Loan-Default-Prediction

This project was pursued as part of a course project for the Macihne Learning module at LSE

sghalebikesabi/csgmcmc

UCI experiments with 'Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning'

sghalebikesabi/dpfastmh

sghalebikesabi/GVI-WGF

sghalebikesabi/heilpraktiker

sghalebikesabi/importance-weighted-differential-privacy

sghalebikesabi/latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

sghalebikesabi/loveUeveryday

This programme gives you a translation of 'I love you' in a different langauge everyday

sghalebikesabi/LSE-AI-Assignments

Assignments as part of a MSc course on Artificial Intelligence

sghalebikesabi/maf_p3

Cloned original MAF repo and changed some parts such that now any data set can be run and it works for python 3

sghalebikesabi/missingness_clustering

Two stage approach for finding latent representations

sghalebikesabi/mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

sghalebikesabi/mlresearch.github.io

Machine Learning Research Homepage

sghalebikesabi/Non-stationary-semiparametric-long-memory-estimation

Project I worked on for my undergraduate studies

sghalebikesabi/oxford-poster

LaTeX beamer poster template themed for the University of Oxford

sghalebikesabi/r1

Proceedings of AISTATS 1997

sghalebikesabi/sghalebikesabi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

sghalebikesabi/sghalebikesabii.github.io

Personal website

sghalebikesabi/torch-mnf

UCI experiments with Multiplicative Normalizing Flows in PyTorch.

sghalebikesabi/v151

Proceedings of AISTATS 2022