Alternatives and similar repositories for OpFlow

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

• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆49Updated last month
• pnnl / NeuralDAEs
  Learning Neural Differential Algebraic Equations via Operator Splitting
  ☆20Updated 2 months ago
• mariodeflorio / AI-Lorenz
  ☆34Updated last year
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 4 months 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…
  ☆82Updated 4 months ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 2 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 2 years ago
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆157Updated last week
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆135Updated 3 months ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆24Updated last year
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 4 years ago
• rezaakb / pinns-jax
  PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
  ☆54Updated last year
• google-research / swirl-dynamics
  Swirl-Dynamics is a python repository that provides implementations of models, benchmarks and utilities for dynamical systems.
  ☆71Updated 3 weeks ago
• emazap7 / ANIE
  ☆17Updated 11 months ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆27Updated 2 years ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆15Updated last year
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 5 months ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆35Updated last year
• JAX-DIPS / JAX-DIPS
  JAX-DIPS is a differentiable interfacial PDE solver.
  ☆46Updated last year
• camlab-ethz / rigno
  Graph-based operator learning in arbitrary geometries
  ☆26Updated 6 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆18Updated last year
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• FrancescoRegazzoni / LDNets
  ☆57Updated last year
• fabianjaeger1 / DLSC
  This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH join…
  ☆23Updated last year
• benmoseley / intro-to-jax-workshop
  Introduction to JAX Workshop @ ETH Zurich, 25 June 2024
  ☆37Updated 5 months ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆31Updated last year
• PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
  Practicum on Supervised Learning in Function Spaces
  ☆33Updated 3 years ago
• benmoseley / symbolic-regression-with-deep-neural-networks-workshop
  Introductory workshop on using deep neural networks for symbolic regression
  ☆12Updated 5 months ago