Alternatives and similar repositories for naf_examples

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

• CW-Huang / torchkit
  ☆37Updated 5 years ago
• jmtomczak / vae_householder_flow
  Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
  ☆76Updated 8 years ago
• salu133445 / binarygan
  Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
  ☆26Updated 5 years ago
• joelouismarino / amortized-variational-filtering
  PyTorch implementation of AVF
  ☆45Updated 4 years ago
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆12Updated 6 years ago
• ritheshkumar95 / pytorch-normalizing-flows
  ☆17Updated 7 years ago
• kastnerkyle / representation_mixing
  Demos, pretrained models, and (WIP) code supporting Representation Mixing
  ☆51Updated 6 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 8 years ago
• DmitryUlyanov / pytorch-in-theano
  Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).
  ☆18Updated 7 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆71Updated 5 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆124Updated 4 years ago
• oval-group / ali-g
  Implementation of the ALI-G algorithm (PyTorch, Tensorflow)
  ☆22Updated 4 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 6 years ago
• yaroslavvb / imperative
  imperative programming in TensorFlow
  ☆18Updated 8 years ago
• jpeg729 / pytorch_bits
  ☆80Updated 7 years ago
• titu1994 / pytorch_odegan
  Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equa…
  ☆16Updated 4 years ago
• lxuechen / BDMC
  PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
  ☆52Updated 4 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 6 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• larsmaaloee / BIVA
  BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling
  ☆29Updated 5 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 4 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 7 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• adjidieng / REM
  Reweighted Expectation Maximization
  ☆29Updated 6 years ago