Topic: wasserstein-distance Goto Github
Some thing interesting about wasserstein-distance
Some thing interesting about wasserstein-distance
wasserstein-distance,Code for the paper: Wasserstein enabled Bayesian optimization of composite functions.
User: andreaponti5
Home Page: https://doi.org/10.1007/s12652-023-04640-7
wasserstein-distance,Code for the paper: Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms.
User: andreaponti5
Home Page: https://doi.org/10.3390/math11102342
wasserstein-distance,Earth mover's distance with Python.
User: antonio-f
wasserstein-distance,Measure the distance between two spectra/signals using optimal transport and related metrics
User: baggepinnen
Home Page: https://baggepinnen.github.io/SpectralDistances.jl/latest/
wasserstein-distance,A clean and robust Pytorch implementation Wasserstein Natural Policy Gradients (WNPGs) and Wasserstein Natural Evolution Strategies (WNES) on discrete action spaces.
User: connorwatts
wasserstein-distance,Some code to Get the Optimal relative Transport started. This will be slowly updated if needed.
User: coolkid1
wasserstein-distance,Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
User: dr-costas
Home Page: https://arxiv.org/abs/1904.10678
wasserstein-distance,This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
User: fabriziomusacchio
Home Page: https://www.fabriziomusacchio.com/blog/2023-07-29-wgan/
wasserstein-distance,Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
User: francoispierrepaty
Home Page: http://proceedings.mlr.press/v97/paty19a.html
wasserstein-distance,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.
User: gabsens
wasserstein-distance,Header only C++ implementation of the Wasserstein distance (or earth mover's distance)
User: gnardari
wasserstein-distance,Variational Filtering via Wasserstein Gradient Flow
User: hanyas
wasserstein-distance,Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
User: harshvirsandhu
wasserstein-distance,Library of Semi-Relaxed Optimal Transport
User: hiroyuki-kasai
wasserstein-distance,Sparse simplex projection-based Wasserstein k-means
User: hiroyuki-kasai
wasserstein-distance,A python module for fast calculation of the wasserstein distance on tree metrics implemented in C++.
User: inktoyou
wasserstein-distance,Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
User: jiacheng-zhu-aiml
Home Page: https://sites.google.com/view/functional-optimal-transport
wasserstein-distance,The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
User: jiacheng-zhu-aiml
wasserstein-distance,Pytorch Implementation for Topic Modeling with Wasserstein Autoencoders
User: jinmang2
Home Page: https://github.com/awslabs/w-lda
wasserstein-distance,Optimal transport algorithms for Julia
Organization: juliaoptimaltransport
Home Page: https://juliaoptimaltransport.github.io/OptimalTransport.jl/dev
wasserstein-distance,Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"
User: jwwangchn
wasserstein-distance,Investigating the Capability of Generative Adversarial Networks in Capturing Implicit Laws in Physical Systems - Master thesis 2023
User: kohmann
wasserstein-distance,Lots of evaluation metrics for the generative adversarial networks in pytorch
User: kozistr
wasserstein-distance,Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
User: kwanit1142
wasserstein-distance,Wasserstein-1 Estimation using Kantorovich-Rubinstein Duality
User: m4xim4l
wasserstein-distance,Code of numerical experiments in Master's thesis [TBD]
User: maciejrola
wasserstein-distance,Formulation of a complex-valued deep learning framework based on JAX, and successive application over a vibration signals classification task.
User: mattiapujatti
wasserstein-distance,Persistence Diagrams in Julia
User: mtsch
Home Page: https://mtsch.github.io/PersistenceDiagrams.jl/dev
wasserstein-distance,My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
User: nicelycla
wasserstein-distance,We've applied the Reptile algorithm to our GAN architectures. The peculiarity is the exclusion of G from meta-learning. Surprisingly, everything worked and the research was published in a paper. More details reported on the paper "Towards Latent Space Optimization of GANs Using Meta-Learning" and the thesis (Italian).
User: nicelycla
wasserstein-distance,Implementation of some types of GANs (Deep convolutional GAN - Wasserstein GAN - conditional GAN) with PyTorch library
User: parham1998
wasserstein-distance,Discovering Conservation Laws using Optimal Transport and Manifold Learning
User: peterparity
Home Page: https://www.nature.com/articles/s41467-023-40325-7
wasserstein-distance,Open-set detection using Wasserstein Distance and Spectral Normalisation
User: proxymallick
wasserstein-distance,Project to get attention from discriminator: 1st combination
User: rushhan
wasserstein-distance,WGAN with feedback from discriminator& LayerNorm instead of BatchNorm
User: rushhan
wasserstein-distance,Added Gradient penalty and feedback to the Generator from Discriminator
User: rushhan
wasserstein-distance,Bisimulation Critic for Reinforcement Learning
User: rytse
wasserstein-distance,This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman
User: shantanu1109
wasserstein-distance,PyTorch implementation of slicing adversarial network (SAN)
Organization: sony
wasserstein-distance,A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
Organization: sparks-baird
Home Page: https://mat-discover.readthedocs.io/
wasserstein-distance,OT1D: Discrete Optimal Transport in 1D by Linear Programming
User: stegua
wasserstein-distance,1D Wasserstein Statistical Loss in Pytorch
User: takararesearch
wasserstein-distance,Neural Network Time Signal Detection with Wasserstein Loss
User: takararesearch
wasserstein-distance,Fast Topological Clustering with Wasserstein Distance (ICLR 2022)
User: topolearn
wasserstein-distance,Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
User: topolearn
wasserstein-distance,LAMDA: Label Matching Deep Domain Adaptation - ICML 2021
User: tuanrpt
wasserstein-distance,Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021
User: tuanrpt
wasserstein-distance,Employing Optimal Transport metrics for Point Cloud Registration
User: ucalyptus
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