39 skills found · Page 1 of 2
ZongxianLee / MMD Loss.PytorchA pytorch implementation of Maximum Mean Discrepancies(MMD) loss
djsutherland / Opt MmdLearning kernels to maximize the power of MMD tests
OctoberChang / MMD GANMMD-GAN: Towards Deeper Understanding of Moment Matching Network
sayakpaul / Cmmd PytorchPyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.
SangyeopYeo / Edge Popup With MMDCan We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)
richardwth / MMD GANImproving MMD-GAN training with repulsive loss function
lyttonhao / Neural Style MMDMXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)
OctoberChang / Klcpd CodeKernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
Saswatm123 / MMD VAEPytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian Prior (as the latent space) and the Data Distribution.
zacheberhart / Maximum Mean Discrepancy Variational AutoencoderA PyTorch implementation of the MMD-VAE, an Information-Maximizing Variational Autoencoder (InfoVAE) based off of the TensorFlow implementation published by the author of the original InfoVAE paper.
ZSHsh98 / MMD MPThis is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).
liguge / Maximum Mean Square DiscrepancyMaximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis
shafiqul-islam-sumon / HARTransferLearningTransfer Learning from one dataset to another different dataset using Maximum Mean Discrepancy (MMD)
Hansong-Zhang / M3DAAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
djsutherland / MmdNo description available
calico / ScmmdMaximum mean discrepancy comparisons for single cell profiling experiments
Sjtubrian / SAMMDThis is the source code for Maximum Mean Discrepancy Test is Aware of Adversarial Attacks (ICML2021).
jswu18 / Distribution DiscrepanciesMaximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence
diegovalsesia / MMD DDMFast Inference in Denoising Diffusion Models via MMD Finetuning
SpringerNLP / Chapter11Chapter 11: Transfer Learning/Domain Adaptation
