Alternatives and similar repositories for enf-min-jax

Users that are interested in enf-min-jax are comparing it to the libraries listed below

• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆28Updated 4 months ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆66Updated this week
• Dafidofff / enf-jax
  ☆13Updated 5 months ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆47Updated last month
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• samuelepapa / neural-field-arena
  ☆12Updated last year
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆45Updated this week
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆83Updated last year
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated 7 months ago
• Rose-STL-Lab / Approximately-Equivariant-Nets
  ☆17Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆97Updated 10 months ago
• yklcs / jaxsplat
  3D Gaussian Splatting in JAX
  ☆60Updated last year
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆83Updated last year
• DoronHav / WassersteinFlowMatching
  ☆28Updated this week
• google-research / spherical-cnn
  ☆118Updated 6 months ago
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆30Updated last year
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆44Updated 2 weeks ago
• noamroze / moser_flow
  ☆17Updated 3 years ago
• sophiaas / spectral-universality
  Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
  ☆38Updated last year
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆11Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆58Updated last year
• katalinic / sdflows
  JAX exponential map normalising flows on sphere
  ☆17Updated 4 years ago
• vdutor / SphericalHarmonics
  Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax
  ☆30Updated last year
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated last year
• arnab39 / equiadapt
  Library to make any existing neural network architecture equivariant
  ☆53Updated 7 months ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆116Updated 4 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆46Updated 2 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆63Updated 5 months ago