Alternatives and similar repositories for ffjord

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

• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆620Updated 3 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆584Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆279Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆920Updated 5 months ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆271Updated 4 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆541Updated 2 years ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆213Updated 10 months ago
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆757Updated last year
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆270Updated last year
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆231Updated 5 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆383Updated 2 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,489Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆865Updated 5 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆165Updated 4 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆300Updated 7 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆234Updated 6 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆436Updated last year
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆838Updated 9 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆279Updated 3 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆178Updated 3 years ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆384Updated last month
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆527Updated 10 months ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆554Updated 4 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆750Updated 2 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆350Updated 2 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated last week
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆652Updated 2 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆138Updated 4 years ago