-
Updated
Mar 21, 2017 - Python
maximum-mean-discrepancy
Here are 16 public repositories matching this topic...
MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
-
Updated
May 12, 2017 - Python
Learning kernels to maximize the power of MMD tests
-
Updated
Jan 11, 2018 - Python
Chapter 11: Transfer Learning/Domain Adaptation
-
Updated
Jul 23, 2019 - Jupyter Notebook
Implicit generative models and related stuff based on the MMD, in PyTorch
-
Updated
Sep 24, 2020 - Jupyter Notebook
Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy
-
Updated
May 21, 2021 - Python
Maximum mean discrepancy comparisons for single cell profiling experiments
-
Updated
Feb 9, 2022 - Python
Improving MMD-GAN training with repulsive loss function
-
Updated
Nov 29, 2022 - Python
Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)
-
Updated
Jan 9, 2023 - Python
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
-
Updated
Jul 3, 2023 - Python
multi-kernel maximum mean discrepancy
-
Updated
Jul 29, 2023 - Jupyter Notebook
MMD-GAN: Towards Deeper Understanding of Moment Matching Network
-
Updated
Aug 8, 2023 - Python
Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"
-
Updated
Nov 30, 2023 - Python
Fast Inference in Denoising Diffusion Models via MMD Finetuning
-
Updated
Dec 4, 2023 - Python
Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
-
Updated
Feb 3, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the maximum-mean-discrepancy topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the maximum-mean-discrepancy topic, visit your repo's landing page and select "manage topics."