Alternatives and similar repositories for nice

Users that are interested in nice are comparing it to the libraries listed below

• ermongroup / a-nice-mc
  Code for "A-NICE-MC: Adversarial Training for MCMC"
  ☆125Updated 7 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• taesungp / real-nvp
  Implementation of Real-NVP in Tensorflow
  ☆101Updated 6 years ago
• casperkaae / LVAE
  Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"
  ☆103Updated 9 years ago
• mgermain / MADE
  MADE: Masked Autoencoder for Distribution Estimation
  ☆102Updated 5 years ago
• yujiali / gmmn
  Generative moment matching networks
  ☆151Updated 9 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆92Updated 8 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• ermongroup / Variational-Ladder-Autoencoder
  Implementation of VLAE
  ☆216Updated 7 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• jzbontar / pixelcnn-pytorch
  ☆123Updated 5 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• ermongroup / flow-gan
  Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.
  ☆110Updated 7 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 8 years ago
• igul222 / PixelVAE
  Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
  ☆93Updated 8 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆125Updated 4 years ago
• jmtomczak / vae_householder_flow
  Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
  ☆75Updated 8 years ago
• ritheshkumar95 / energy_based_generative_models
  PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
  ☆154Updated 6 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆90Updated 8 years ago
• paruby / Wasserstein-Auto-Encoders
  Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761
  ☆37Updated 7 years ago
• DartML / SteinGAN
  code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
  ☆27Updated 6 years ago
• neocxi / pixelsnail-public
  ☆124Updated 7 years ago
• google / gumbel_sinkhorn
  ☆76Updated 8 years ago
• zhenxuan00 / graphical-gan
  source code of the paper Graphical Generative Adversarial Networks
  ☆71Updated 6 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆234Updated 6 years ago
• KhrulkovV / geometry-score
  ☆117Updated 6 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆75Updated 5 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 4 years ago
• 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