Alternatives and similar repositories for sbtm

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

• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆12Updated 3 years ago
• david-knigge / enf-pde
  Code for reproducing the paper "Space-Time Continuous PDE Forecasting using Equivariant Neural Fields" (https://arxiv.org/abs/2406.06660)…
  ☆13Updated last year
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆55Updated 2 years ago
• PolymathicAI / lola
  Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"
  ☆44Updated last month
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆18Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 2 years ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆24Updated last year
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆16Updated last year
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆50Updated last week
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 6 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 5 months ago
• neuraloperator / GANO
  ☆35Updated 2 years ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆178Updated 11 months ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated last week
• anh-tong / fractional_neural_sde
  Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)
  ☆16Updated 3 years ago
• haydn-jones / SOAP_JAX
  Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)
  ☆17Updated last year
• zezhongzhang / Score-based-Filter
  Code repository for paper: A score-based filter for nonlinear data assimilation
  ☆13Updated last year
• VLSF / SNO
  Spectral Neural Operator
  ☆78Updated last year
• Benjamin-Walker / log-neural-cdes
  Code for "Log Neural Controlled Differential Equations" (ICML 2024) and "Structured Linear CDEs" (NeurIPS 2025, Spotlight)
  ☆23Updated 3 weeks ago
• google-research / swirl-dynamics
  Swirl-Dynamics is a python repository that provides implementations of models, benchmarks and utilities for dynamical systems.
  ☆72Updated last week
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆88Updated last week
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆31Updated last year
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆123Updated 11 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆149Updated 2 weeks ago
• yzshi5 / SPL_OFM
  [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"
  ☆12Updated 2 weeks ago
• neuraloperator / DiffusionOperators
  ☆23Updated last year
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 9 months ago