Alternatives and similar repositories for pytorch-normalizing-flows

Users that are interested in pytorch-normalizing-flows are comparing it to the libraries listed below

• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆584Updated 4 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆650Updated 4 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆627Updated 4 years ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆563Updated 6 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆943Updated 7 months ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆385Updated 3 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆757Updated 3 years ago
• rll / deepul
  ☆812Updated 4 months ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,005Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆282Updated last year
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆545Updated 2 years ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,404Updated 4 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆831Updated 5 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆277Updated 5 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆528Updated last year
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆372Updated 5 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆472Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆234Updated 6 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆823Updated 4 years ago
• karpathy / deep-vector-quantization
  VQVAEs, GumbelSoftmaxes and friends
  ☆582Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆424Updated 2 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆467Updated 6 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆510Updated 4 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆236Updated 6 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆588Updated 7 months ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆271Updated last year