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
  ☆43Updated this week
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• pnnl / NeuralDAEs
  ☆11Updated last year
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆37Updated 6 months ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆22Updated 2 months ago
• IdahoLabResearch / BIhNNs
  The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …
  ☆14Updated 2 years ago
• csccm-iitd / VB-DeepONet
  ☆12Updated 2 years ago
• camlab-ethz / rigno
  Graph-based operator learning in arbitrary geometries
  ☆23Updated last month
• Bostanabad-Research-Group / GP-for-pde-solving
  ☆17Updated 6 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆13Updated 9 months ago
• google-research / swirl-dynamics
  ☆54Updated this week
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 4 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 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…
  ☆70Updated 6 months ago
• fabianjaeger1 / DLSC
  This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH join…
  ☆18Updated last year
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 6 years 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
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated last year
• mariodeflorio / AI-Lorenz
  ☆32Updated last year
• gpschool / gpss21
  ☆12Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 9 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆63Updated 3 months ago
• PredictiveIntelligenceLab / LOCA
  ☆14Updated last year
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆62Updated 4 years ago
• Bostanabad-Research-Group / GP-Plus
  Python Library for Generalized Gaussian Process Modeling
  ☆24Updated last month
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆17Updated 11 months ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆20Updated 9 months ago