Alternatives and similar repositories for opt-mmd

Users that are interested in opt-mmd are comparing it to the libraries listed below

• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 7 years ago
• OctoberChang / MMD-GAN
  MMD-GAN: Towards Deeper Understanding of Moment Matching Network
  ☆201Updated 2 years ago
• yujiali / gmmn
  Generative moment matching networks
  ☆150Updated 9 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆215Updated 7 years ago
• saemundsson / semisupervised_vae
  Replication of Semi-Supervised Learning with Deep Generative Models
  ☆100Updated 9 years ago
• RuiShu / dirt-t
  A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
  ☆175Updated 7 years ago
• siddharth-agrawal / Generative-Moment-Matching-Networks
  ☆62Updated 9 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆101Updated 9 years ago
• fducau / AAE_pytorch
  ☆200Updated 8 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆199Updated 7 years ago
• musyoku / adversarial-autoencoder
  Chainer implementation of adversarial autoencoder (AAE)
  ☆257Updated 7 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 7 years ago
• kimiyoung / ssl_bad_gan
  Good Semi-Supervised Learning That Requires a Bad GAN
  ☆180Updated 7 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆242Updated 2 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆230Updated 7 years ago
• ddtm / caffe
  Caffe: a fast open framework for deep learning.
  ☆136Updated 9 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• mkocaoglu / CausalGAN
  ☆144Updated 7 years ago
• takerum / vat
  Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"
  ☆110Updated 8 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 8 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆214Updated 5 years ago
• jeffdonahue / bigan
  code for "Adversarial Feature Learning"
  ☆238Updated 3 years ago
• Riashat / Active-Learning-Bayesian-Convolutional-Neural-Networks
  Active Learning on Image Data using Bayesian ConvNets
  ☆138Updated 8 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• enalisnick / stick-breaking_dgms
  Deep Generative Models with Stick-Breaking Priors
  ☆96Updated 9 years ago
• yaringal / ConcreteDropout
  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
  ☆252Updated 6 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆202Updated 8 years ago
• ericjang / gumbel-softmax
  categorical variational autoencoder using the Gumbel-Softmax estimator
  ☆432Updated 8 years ago
• dongyp13 / Robust-and-Explainable-Machine-Learning
  Related materials for robust and explainable machine learning
  ☆48Updated 7 years ago