sidiatig Goto Github PK
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sidiatig's Projects
1d-optimal-transport
Implementation of the optimal transport problem in 1D. For $L^2$ also known as Earth Mover's distance or Wasserstein distance.
2013-siims-ot-splitting
N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.
2014-sisc-bregmanot
J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Journal on Scientific Computing, 37(2), pp. A1111–A1138, 2015.
2016-icml-gromov-wasserstein
Matlab code to reproduce the results of the paper "Gromov-Wasserstein Averaging of Kernel and Distance Matrices".
2017-gpca-vs-logpca-wasserstein
E. Cazelles, V. Seguy, J. Bigot, M. Cuturi, N. Papadakis, 'Geodesic PCA versus Log-PCA of histograms in the Wasserstein space', https://arxiv.org/abs/1708.08143
2017-jmlr-optimaltransport
Multiscale Strategies for Computing Optimal Transport
2017-ot-beginners
Optimal Transport for Dummies - Code, slides and article
2018-optimal-transport-prj
Here is my master thesis on optimal transport.
adaptive-optimal-transport
Code for the papers based on arxiv.org/pdf/1807.00393.pdf
agd-vs-sinkhorn
Code for http://proceedings.mlr.press/v80/dvurechensky18a.html
ai-frameworks
Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle
air_passengers
An analysis of the air_passenger dataset from RAMP
allign_jdot
Alligned Joint distribution optimal transport
applied-machine-learning-for-healthcare
Applied Machine Learning For Healthcare, published by Packt
apprentissage
Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle
autograd
Efficiently computes derivatives of numpy code.
avo-pytorch
Implementation of Adversarial Variational Optimization in PyTorch
awesome-gan
A collection of AWESOME things about GAN
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
barycenter
generate samples for Wasserstein Barycenter
bsc-thesis
My bachelor's thesis
caffe
Caffe: a fast open framework for deep learning.
caffe-cpu
Implementing the Wasserstein Loss Layer
color-transfer
Color transfer by optimal transport
combinatorialoptimaltransport
The implementation of the additive approximation optimal transport algorithm for the paper https://arxiv.org/pdf/1905.11830.pdf
computationalotsummerschool
Practical sessions of INRIA Paris' Summer School 'A Numerical Introduction to Optimal Transport' - May 2019
cs131_notes
Class notes for CS 131.
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