Alternatives and similar repositories for enf-min-jax

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

• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated 8 months ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆48Updated 2 months ago
• Dafidofff / enf-jax
  ☆13Updated 6 months ago
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 5 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆98Updated last month
• arnab39 / equiadapt
  Library to make any existing neural network architecture equivariant
  ☆54Updated 9 months ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆47Updated this week
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆30Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• yklcs / jaxsplat
  3D Gaussian Splatting in JAX
  ☆63Updated last year
• samuelepapa / neural-field-arena
  ☆12Updated last year
• ml-jku / GINNs-Geometry-informed-Neural-Networks
  ☆172Updated last month
• google-research / spherical-cnn
  ☆124Updated 8 months ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆47Updated last month
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆100Updated 11 months ago
• astro-informatics / s2fft
  S2FFT: Differentiable and accelerated spherical transforms
  ☆198Updated this week
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆84Updated last year
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated 2 years ago
• DoronHav / WassersteinFlowMatching
  ☆29Updated last month
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆124Updated last month
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆248Updated 2 years ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆56Updated last week
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆85Updated last year
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆201Updated 6 months ago
• vdutor / SphericalHarmonics
  Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax
  ☆33Updated last year
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆102Updated last year
• AndreiB137 / EinFields
  Einstein Fields official implementation in JAX.
  ☆50Updated 2 weeks ago
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆43Updated last year