Alternatives and similar repositories for ffjord

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

• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆584Updated 4 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆629Updated 4 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆953Updated 8 months ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆280Updated last year
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆547Updated 2 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆877Updated 5 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆278Updated 5 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆269Updated last year
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆235Updated 6 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆758Updated 3 years ago
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆775Updated last year
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆141Updated 4 years ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆216Updated last year
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆530Updated last year
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆385Updated 3 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆235Updated 7 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆613Updated 2 years ago
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆875Updated last year
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆373Updated 5 years ago
• daib13 / TwoStageVAE
  ☆237Updated 6 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆349Updated 3 years ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆825Updated 2 years ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆561Updated 4 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,003Updated 4 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,520Updated last year
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆354Updated 2 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆282Updated 3 years ago