Alternatives and similar repositories for bayestorch

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

• zzhang222 / Bayesian-PINN-Pytorch
  ☆16Updated 3 years ago
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• pkmtum / Semi-supervised_Invertible_Neural_Operators
  Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
  ☆14Updated last year
• neuraloperator / GANO
  ☆35Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 3 years ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆37Updated 7 months ago
• devzhk / Pytorch-linalg
  ☆10Updated 3 years ago
• bsciolla / gaussian-random-fields
  Generator of 2D gaussian random fields
  ☆52Updated 3 years ago
• xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
  Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
  ☆25Updated last year
• peterparity / PDE-VAE-pytorch
  PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
  ☆35Updated 3 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• n-takeishi / phys-vae
  ☆13Updated 3 years ago
• Zhengyu-Huang / Operator-Learning
  ☆45Updated 2 years ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• PhIMaL / DeePyMoD
  ☆49Updated last year
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆27Updated last week
• stathius / wave_propagation
  Predicting wave propagation on shallow water with deep neural networks
  ☆22Updated 2 years ago
• PKU-CMEGroup / InverseProblems.jl
  ☆113Updated last week
• MaxRamgraber / Triangular-Transport-Toolbox
  A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.
  ☆11Updated 3 months ago
• pswpswpsw / paper-nif
  ☆39Updated 2 years ago
• CPOMUCL / GPSat
  Python package to interpolate nonstationary geospatial fields from observation data using local Gaussian process models
  ☆12Updated 3 weeks ago
• timweiland / gp-fvm
  Probabilistic Finite Volume Method based on Affine Gaussian Process inference
  ☆11Updated last year
• slimgroup / dfno
  Distributed Fourier Neural Operators
  ☆30Updated 3 years ago
• HewlettPackard / separable-operator-networks
  Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
  ☆32Updated 11 months ago
• JALB-epsilon / Fine-tuning-NOs
  ☆15Updated last year
• zabaras / inn-surrogate
  Solving inverse problems using conditional invertible neural networks.
  ☆33Updated 4 years ago
• cselab / LED
  ☆21Updated 2 years ago
• googleinterns / invobs-data-assimilation
  ☆38Updated 4 years ago
• luckystarufo / MrCAE
  a multiresolution convolutional autoencoder architecture
  ☆23Updated 4 years ago