sghalebikesabi Goto Github PK
Name: Sahra Ghalebikesabi
Type: User
Company: University of Oxford
Bio: DPhil student in Modern Statistics and Statistical Machine Learning at the University of Oxford
Name: Sahra Ghalebikesabi
Type: User
Company: University of Oxford
Bio: DPhil student in Modern Statistics and Statistical Machine Learning at the University of Oxford
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.
The scripts to generate bibtex files and the corresponding pdfs for PMLR
This project was pursued as part of a course project for the Macihne Learning module at LSE
UCI experiments with 'Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning'
This is the code for the micro-project 'Variational Inference: βDoes it work?β'. This project is part of the StatML CDT at University of Oxford and Imperial College London.
Pytorch implementation of a Gaussian Mixture Variational Autoencoder used for clustering of the MNIST data set.
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
This programme gives you a translation of 'I love you' in a different langauge everyday
Assignments as part of a MSc course on Artificial Intelligence
Masked Autoregressive Flow
Cloned original MAF repo and changed some parts such that now any data set can be run and it works for python 3
Two stage approach for finding latent representations
Machine Learning and Artificial Intelligence for Medicine.
Machine Learning Research Homepage
Project I worked on for my undergraduate studies
Code accompanying 'On Locality of Local Explanation Models'
LaTeX beamer poster template themed for the University of Oxford
Deep generative pattern-set mixture models for missingness imputation
Proceedings of AISTATS 1997
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Personal website
Project work submitted as part of the MSc Statistics course on Bayesian Machine Learning at the London School of Economics and Political Science
Project as part of a term paper in my undergraduate studies
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.