Alternatives and similar repositories for Normalizing-Flows:

Users that are interested in Normalizing-Flows are comparing it to the libraries listed below

• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆16Updated 2 years ago
• jonathandumas / generative-models
  Implementation of generative models to compute scenario of renewable generation and consumption.
  ☆65Updated 3 years ago
• glouppe / talk-template
  Template for talks in remark+KaTeX.
  ☆25Updated 4 years ago
• LiuHaiTao01 / SVSHGP
  Stochastic variational heteroscedastic Gaussian process
  ☆14Updated 6 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 3 years ago
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 3 years ago
• cardazuluaga / PPFdemos
  Here, we present demos to analyze probabilistic power flow problems
  ☆11Updated 7 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆52Updated 4 years ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• SimonStock / BPINN_for_System_Identification
  Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems
  ☆10Updated last year
• SetarehAr / ADMMBO
  An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''
  ☆22Updated 5 years ago
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆29Updated 4 years ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• Tom271 / LangevinMC
  MIGSAA Project 2 - Langevin Monte Carlo Algorithms
  ☆12Updated last year
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆51Updated 5 months ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 4 years ago
• francois-rozet / dawgz
  Unleash the true power of scheduling
  ☆30Updated 2 weeks ago
• jmaronas / TGP.pytorch
  Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
  ☆24Updated 2 years ago
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated last year
• pnnl / GridSTAGE
  ☆26Updated 2 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• TU-Delft-AI-Energy-Lab / Workshop_AI_for_Intelligent_Energy_Systems
  AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications o…
  ☆16Updated 10 months ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆30Updated 8 months ago
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆29Updated 2 years ago
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated last year
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆41Updated 3 years ago
• deepskies / DeeplyUncertain-Public
  ☆28Updated 2 years ago