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Search results for pytorch optimal transport
optimal-transport
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pytorch
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21 search results found
Conditional Flow Matching
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499
TorchCFM: a Conditional Flow Matching library
Wassdistance
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153
Approximating Wasserstein distances with PyTorch
Scot
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62
CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.
Swae Pytorch
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59
Implementation of the Sliced Wasserstein Autoencoder using PyTorch
Progressive Growing Of Gans.pytorch
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51
Source code for "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
Nn_encapsulation
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49
Capsule research with our trivial contribution
Wasserstein2generativenetworks
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41
PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
San
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28
PyTorch implementation of slicing adversarial network (SAN)
Elim_fer
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28
[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition
Gan Qp.pytorch
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26
Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"
Otcoarsening
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23
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Trssl
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20
"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
Optimaltransportmodeling
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17
The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
Turing Gan
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13
Source code for "Training Generative Adversarial Networks Via Turing Test".
Fml
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13
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
Wasserstein2barycenters
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12
PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization".
Large Scale Wasserstein Gradient Flows
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9
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
Undaw
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8
Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
Learning Embeddings Into Entropic Wasserstein Spaces Ensae
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7
A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.
Pyomt
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5
A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm
Groupmap
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5
GroupMap: beyond mean and variance matching for deep learning
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