implementation of the paper "Stochastic Optimization for Large-scale Optimal Transport" (https://arxiv.org/pdf/1605.08527.pdf).
Statistics for this project are still being loaded, please check back later.
Optimization with orthogonal constraints and on general manifolds
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Joint distribution optimal transportation for domain adaptation
Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; a...
Python numerical optimization toolbox
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algo...
Optimization sample codes on Python
Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch
Code for Semi-relaxed Gromov-Wasserstein divergence with applications on graphs (ICLR 2022)
OT1D: Discrete Optimal Transport in 1D by Linear Programming
POT : Python Optimal Transport
Code for Online Graph Dictionary Learning
Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
Hyperparameter optimization with approximate gradient
A Python implementation of global optimization with gaussian processes.