mfouda's repositories
NSF-1923278-Stochastic-Uncertainty-Management
AMPS: Optimal Transport Algorithms for Stochastic Uncertainty Management in Modern Power Systems
Advanced-Machine-Learning-Projects
[ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) during the academic year 2019-2020.
Cloud-Movers-Distance
Employing Optimal Transport metrics for Point Cloud Registration
CLT_Sinkhorn
J. Bigot, E. Cazelles, N. Papadakis, 'Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications', https://projecteuclid.org/euclid.ejs/1576119711
covid-19
The final project for optimal transport course
DROT
Dual Regularized Optimal Transport
flatland-reinforcement-learning
Multi-Agent Reinforcement Learning for optimal train schedules
GRU-Protein-Analysis
Semester Project for the Deep Learning 2020 Lecture at ETH Zürich
Humboldt-2020
Two invited online lectures on optimal transport and quantile regression
hyperbolic_alignment
This repo contains a base implementation for aligning hyperbolic representations using an Optimal Transport-based approach.
iml-project
Project tasks for the course "Introduction to Machine Learning" given at ETH Zurich during the spring semester 2020
minimax_OT
Code for paper "A Swiss Army Knife for Minimax Optimal Transport"
ML-paper-review
Currated list of ML papers with an added short summary
optimal-transport-offloading
A Computation Offloading Model over Collaborative Cloud-Edge Networks with Optimal Transport Theory
optimal_transport_problem
The repository for final project (NLA course) - "Optimal Transport Problem"
OptimalTransport-1
Toolbox implementing algorithms from optimal transport theory.
OT-numerics
Reproducing the numerical experiment from the paper Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
OT_CycleGAN
Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)
OTDD-1
Python implementation of Geometric Dataset Distances via Optimal Transport
OTRL
An Optimal-Transport-Based Reinforcement Learning Approach for Computation Offloading
POTD
Python3 and R implementation of the paper [Sufficient dimension reduction for classification using principal optimal transport direction] (NeurIPS 2020)
regularized-optimal-transport
Survey paper on statistical and computational benefits of entropic regularization in optimal transport
Robust-Inverse-Optimal-Transport
short project to implement and improve the RIOT approach presented by Ruilin Li : Learning to Match via Inverse Optimal Transport
style_transfer-1
An implementation "Style Transfer by Relaxed Optimal Transport and Self-Similarity"
unnormalized-optimal-transport
A repository containing code for computing the unnormalized wasserstein distance.