Alternatives and similar repositories for functional_autoencoders

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

• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆57Updated 2 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆42Updated 3 years ago
• NickHunt-Smith / MCMC-diffusion
  A Metropolis-Hastings MCMC sampler accelerated via diffusion models
  ☆16Updated last year
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆19Updated last year
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 8 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆16Updated last year
• balintmate / boltzmann-interpolations
  ☆11Updated 2 years ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆32Updated 2 years ago
• neuraloperator / FunDPS
  [NeurIPS 2025] Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"
  ☆38Updated this week
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆46Updated last year
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆13Updated last year
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 9 months ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆54Updated 3 years ago
• FabianAltekrueger / NeuralWassersteinGradientFlows
  Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
  ☆11Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Updated 7 months ago
• anh-tong / fractional_neural_sde
  Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)
  ☆16Updated 3 years ago
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆34Updated 3 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆51Updated 2 years ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆97Updated 3 months ago
• take-koshizuka / NLSB
  ☆22Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆79Updated 2 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆28Updated 2 years ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆42Updated 3 years ago
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆19Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆30Updated 2 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆25Updated 2 years ago
• AudOlivier / UQ_in_ML
  ☆10Updated 4 years ago
• MatthieuDarcy / KernelsOperatorLearning
  ☆12Updated last year