Alternatives and similar repositories for Gaussianization_Flows

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

• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• vislearn / HINT
  Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
  ☆21Updated 4 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 4 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 3 years ago
• hmdolatabadi / LRS_NF
  [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
  ☆20Updated 2 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆57Updated last year
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• robert-giaquinto / gradient-boosted-normalizing-flows
  We got a stew going!
  ☆27Updated 2 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• lliutianc / gan-flow
  ☆14Updated 2 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆84Updated 4 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• asteroidhouse / INN-exploding-inverses
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Updated 5 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated last month
• DanieleGammelli / pyro-torch-normalizing-flows
  Implementations of Normalizing Flows in Pytorch/Pyro
  ☆18Updated 5 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆43Updated 2 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago
• francois-rozet / diem
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆31Updated 2 weeks ago
• yuyang-shi / generalized-diffusion
  ☆16Updated 2 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆147Updated 5 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆27Updated 4 years ago
• wgrathwohl / VERA
  ☆64Updated last year
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 4 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆280Updated 3 weeks ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 3 years ago
• izmailovpavel / flowgmm
  ☆149Updated 3 years ago