jswu18/distribution-discrepancies

Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence

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PrasannaPulakurthi/MMD-AdversarialNAS-GAN

Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition

Language: Python - Size: 9.42 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 5 - Forks: 1

PrasannaPulakurthi/MMD-PMish-NAS-GAN

First GAN compression via NAS + Adaptive Tensor Decomposition

Language: Python - Size: 20.7 MB - Last synced at: 14 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

youqiangao/wmmd

Official PyTorch implementation of JASA paper "Word-Level Maximum Mean Discrepancy Regularization for Word Embedding"

Language: Python - Size: 5.6 MB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 9 - Forks: 0

ToineSayan/non-LEOPARD

Pytorch implementation of 'Nonlinear Concept Erasure: A Density Matching Approach' (Saillenfest & Lemberger, 2025), to appear in Proceedings of ECAI 2025 - 28th European conference on AI

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calico/scmmd

Maximum mean discrepancy comparisons for single cell profiling experiments

Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 2

measterpojo/Residual-Transfer-Network-RTN-for-Unsupervised-DA

The Residual Transfer Network (RTN) is a framework designed for domain adaptation

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djsutherland/opt-mmd

Learning kernels to maximize the power of MMD tests

Language: Python - Size: 97.7 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 210 - Forks: 73

lyttonhao/Neural-Style-MMD

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

Language: Python - Size: 5.52 MB - Last synced at: 5 months ago - Pushed at: over 8 years ago - Stars: 84 - Forks: 22

djsutherland/igms

Implicit generative models and related stuff based on the MMD, in PyTorch

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richardwth/MMD-GAN

Improving MMD-GAN training with repulsive loss function

Language: Python - Size: 26.9 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 89 - Forks: 19

SangyeopYeo/Edge-popup_with_MMD

Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)

Language: Python - Size: 2.29 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 100 - Forks: 12

junwu6/MARINE

Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy

Language: Python - Size: 236 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

diegovalsesia/MMD-DDM

Fast Inference in Denoising Diffusion Models via MMD Finetuning

Language: Python - Size: 1.35 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 4

RonyAbecidan/UnsupervisedJpegDomainAdaptation

Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"

Language: Python - Size: 984 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 0

OctoberChang/MMD-GAN

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

Language: Python - Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 182 - Forks: 52

MaterialsInformaticsDemo/MK-MMD

multi-kernel maximum mean discrepancy

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djsutherland/mmd

Language: Python - Size: 104 KB - Last synced at: 15 days ago - Pushed at: over 8 years ago - Stars: 25 - Forks: 16

SpringerNLP/Chapter11

Chapter 11: Transfer Learning/Domain Adaptation

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OctoberChang/klcpd_code

Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)

Language: Python - Size: 42.7 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 45 - Forks: 13

AnthonyEbert/EasyMMD

Compute Maximum Mean Discrepancy in R

Language: R - Size: 95.7 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2