MMD-GAN: Towards Deeper Understanding of Moment Matching Network
☆201Aug 8, 2023Updated 2 years ago
Alternatives and similar repositories for MMD-GAN
Users that are interested in MMD-GAN are comparing it to the libraries listed below
Sorting:
- Improving MMD-GAN training with repulsive loss function☆90Nov 29, 2022Updated 3 years ago
- Learning kernels to maximize the power of MMD tests☆210Jan 11, 2018Updated 8 years ago
- Training MMD GANs.☆86Apr 30, 2018Updated 7 years ago
- Scaled MMD GAN☆36Oct 30, 2019Updated 6 years ago
- 🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016☆238Apr 22, 2021Updated 4 years ago
- Generative moment matching networks☆150Jul 11, 2016Updated 9 years ago
- A PyTorch library for two-sample tests☆241Nov 12, 2025Updated 3 months ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Aug 29, 2017Updated 8 years ago
- MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)☆84May 12, 2017Updated 8 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Dec 10, 2017Updated 8 years ago
- Domain Adaptation using GAN☆66Aug 17, 2019Updated 6 years ago
- Transfer Learning Library☆463Apr 9, 2021Updated 4 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Aug 16, 2018Updated 7 years ago
- ☆25Mar 21, 2017Updated 8 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆45Sep 5, 2017Updated 8 years ago
- GANs with spectral normalization and projection discriminator☆1,103Nov 12, 2019Updated 6 years ago
- ☆62Jun 28, 2016Updated 9 years ago
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆676Apr 17, 2018Updated 7 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Nov 3, 2017Updated 8 years ago
- Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)☆102Oct 29, 2018Updated 7 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆58Apr 15, 2019Updated 6 years ago
- Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017☆195Apr 6, 2019Updated 6 years ago
- Learning generative models with Sinkhorn Loss☆30Nov 9, 2018Updated 7 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Dec 16, 2016Updated 9 years ago
- A pytorch implementation of Paper "Improved Training of Wasserstein GANs"☆1,539Jul 18, 2023Updated 2 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆417Mar 21, 2024Updated last year
- ☆123Mar 18, 2020Updated 5 years ago
- Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018☆141Apr 6, 2019Updated 6 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Jun 12, 2023Updated 2 years ago
- Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"☆252Dec 8, 2022Updated 3 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆106Feb 24, 2020Updated 6 years ago
- Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019☆33Sep 18, 2019Updated 6 years ago
- ☆222Feb 28, 2019Updated 7 years ago
- Code release for the ICLR paper☆21Jun 13, 2018Updated 7 years ago
- Code for reproducing experiments in "Improved Training of Wasserstein GANs"☆2,400Jun 6, 2018Updated 7 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆53Jun 21, 2021Updated 4 years ago
- Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"☆151Jan 1, 2021Updated 5 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆151Oct 28, 2017Updated 8 years ago
- zero-shot-gcn in pytorch☆81Apr 5, 2019Updated 6 years ago