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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.
Repositories
27A beautiful, simple, clean, and responsive Jekyll theme for academics
An up-to-date version of GPML library.
A playground for experimenting with diffusion models 🌀
Federated posterior averaging implemented in JAX
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Code release for Learning with Opponent-Learning Awareness and variations.
A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
The Mojo Programming Language
Contextual Explanation Networks (CEN).
A minimalistic CLI for managing AWS EC2 projects. Useful for small projects on a tight budget.
Material for ACM Python Tutorials, KAUST, 2015.
Determinantal Point Processes in Julia
Code and reports for the OS course I took Fall, 2013, at KAUST.
Chebfun: numerical computing with functions.
Hidden Markov Models with Nonparametric Emissions
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.
LaTeX starter for creating a CMU thesis or thesis proposal.
Useful extra functionality for TensorFlow 2.0 maintained by SIG-addons
Shared repository for open-sourced projects from the Google AI Language team.
Supervised Transfer Sparse Coding
ADIOS: Architectures Deep In Output Space
Material for ACM Python Tutorials, KAUST, 2014.
Machine translation shared task solution, Yandex, SHAD 2013
SHG HTML5 Demo
KAUST CS260 course project