Alternatives and similar repositories for nflows

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

• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆870Updated 11 months ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆402Updated 2 months ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆627Updated 4 years ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,556Updated last month
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆650Updated 4 years ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆456Updated 11 months ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated last month
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆282Updated last year
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆277Updated 5 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,518Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆876Updated 5 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated 3 weeks ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆515Updated 4 months ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆443Updated 2 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated last month
• vislearn / FrEIA
  Framework for Easily Invertible Architectures
  ☆822Updated last year
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆584Updated 4 years ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆215Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆628Updated last week
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,663Updated 7 months ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆234Updated 6 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆646Updated 4 months ago
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆664Updated 2 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆282Updated 3 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆612Updated 2 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
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,463Updated 11 months ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆169Updated 5 years ago