Alternatives and similar repositories for stupid-simple-norm-flow:

Users that are interested in stupid-simple-norm-flow are comparing it to the libraries listed below

• BorealisAI / continuous-time-flow-process
  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
  ☆48Updated 4 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆146Updated 7 months ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• e-hulten / maf
  PyTorch implementation of the Masked Autoregressive Flow
  ☆24Updated 4 years ago
• guxd / deepHMM
  A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]
  ☆56Updated 8 months ago
• federicobergamin / Variational-Inference-with-Normalizing-Flows
  Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch
  ☆22Updated 5 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆135Updated 2 years ago
• edebrouwer / latentCCM
  Implementation of the Latent CCM paper
  ☆14Updated 9 months ago
• DanieleGammelli / pyro-torch-normalizing-flows
  Implementations of Normalizing Flows in Pytorch/Pyro
  ☆19Updated 4 years ago
• deepskies / DeeplyUncertain-Public
  ☆28Updated 2 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 2 years ago
• unnir / cVAE
  Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch
  ☆95Updated last year
• ahmedmalaa / Fourier-flows
  ☆17Updated 3 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆142Updated last year
• e-hulten / planar-flows
  PyTorch implementation of planar flows
  ☆31Updated 3 years ago
• TyXe-BDL / TyXe
  ☆151Updated 2 years ago
• jorgemarpa / PELS-VAE
  Physics-Enhanced Latent Space Variational Autoencoder
  ☆8Updated 2 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆230Updated 5 years ago
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆20Updated 4 years ago
• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆42Updated 2 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆46Updated 2 years ago
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆45Updated last year
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆36Updated 2 years ago
• SamsungLabs / semi-supervised-NFs
  Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
  ☆28Updated 3 years ago
• shivakanthsujit / VAE-PyTorch
  Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch
  ☆32Updated last year
• thegialeo / Training-Invertible-Neural-Networks-as-Autoencoders
  ☆19Updated 2 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 4 years ago
• TinyVolt / normalizing-flows
  Implementation of normalizing flows from 1d to Nd
  ☆32Updated 4 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆37Updated last year