aboustati
Machine learning scientist at Amazon. ex-Causalens. PhD in probabilistic machine learning from the University of Warwick.
AmazonUnited Kingdom
Pinned Repositories
aboustati.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AoC-2022
AoC 2022
camelyon16
Repository for the Camelyon16 project, analysing whole slide images from lymph node sections
cogp
Implementation of the COGP model
dgplib
Library for Deep Gaussian Processes based on GPflow
dotfiles
This repository contains my dotfiles.
intro_to_computing_2018
Introdcution to Computing 2018
python_faims_toolkit
Python utilities to read and manipulate FAIMS data
robust-smc
Implementation of Robust SMC
vargrad
Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
aboustati's Repositories
aboustati/dgplib
Library for Deep Gaussian Processes based on GPflow
aboustati/vargrad
Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
aboustati/robust-smc
Implementation of Robust SMC
aboustati/AoC-2022
AoC 2022
aboustati/intro_to_computing_2018
Introdcution to Computing 2018
aboustati/aboustati.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
aboustati/camelyon16
Repository for the Camelyon16 project, analysing whole slide images from lymph node sections
aboustati/CS918_SemEval2015
aboustati/dotfiles
This repository contains my dotfiles.
aboustati/udacity-tensorflow
Assignments for Udacity Tensorflow MOOC
aboustati/cogp
Implementation of the COGP model
aboustati/python_faims_toolkit
Python utilities to read and manipulate FAIMS data
aboustati/2017-phd-students
Repository for the reproducible research session
aboustati/archived-aboustati.github.io
Build a Jekyll blog in minutes, without touching the command line.
aboustati/at_gp
Implements AT-GP from Cao et. al. 2010 in GPflow
aboustati/bayesian_benchmarks
A community repository for benchmarking Bayesian methods
aboustati/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
aboustati/DeepSpoof
aboustati/Doubly-Stochastic-DGP
Deep Gaussian Processes with Doubly Stochastic Variational Inference
aboustati/FAIMSToolkit
Toolkit for handling FAIMS data
aboustati/go
The Open Source Data Science Masters
aboustati/GPflow
Gaussian processes in TensorFlow
aboustati/gpytorch
An implementation of Gaussian Processes in Pytorch
aboustati/PhDNotes
Host your tiddlywikis in GitHub pages without any git knowledge or installing any software
aboustati/Practical_RL
A course in reinforcement learning in the wild
aboustati/PythonMisc
Some standalone python scripts
aboustati/RegLib
A custom linear regression library for python implemented using Theano.
aboustati/se_talk
PhD talk on software engineering
aboustati/streaming_sparse_gp
Streaming sparse Gaussian process approximations
aboustati/Theano-Tutorials
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.