A beautiful, simple, clean, and responsive Jekyll theme for academics

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Code release for Learning with Opponent-Learning Awareness and variations.

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

Federated posterior averaging implemented in JAX

An up-to-date version of GPML library.

A playground for experimenting with diffusion models 🌀

Determinantal Point Processes in Julia

Contextual Explanation Networks (CEN).

Material for ACM Python Tutorials, KAUST, 2015.

ADIOS: Architectures Deep In Output Space

A minimalistic CLI for managing AWS EC2 projects. Useful for small projects on a tight budget.

Hidden Markov Models with Nonparametric Emissions

Material for ACM Python Tutorials, KAUST, 2014.

Machine translation shared task solution, Yandex, SHAD 2013

Supervised Transfer Sparse Coding

The Mojo Programming Language

A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.

Code and reports for the OS course I took Fall, 2013, at KAUST.

KAUST CS260 course project

FedJAX is a library for developing custom Federated Learning (FL) algorithms in JAX.

A collection of Google research projects related to Federated Learning and Federated Analytics.

agent multiplexer that lives in your terminal.

Code of my Website

Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons

Shared repository for open-sourced projects from the Google AI Language team.

LaTeX starter for creating a CMU thesis or thesis proposal.

Chebfun: numerical computing with functions.

SHG HTML5 Demo