Iolo-Jones / ManifoldDiffusionGeometryLinks
Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
☆44Updated last year
Alternatives and similar repositories for ManifoldDiffusionGeometry
Users that are interested in ManifoldDiffusionGeometry are comparing it to the libraries listed below
Sorting:
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆49Updated 6 months ago
- The code for "Diffusion Geometry" (2024).☆44Updated last year
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆85Updated last year
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated 9 months ago
- ☆176Updated 4 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆107Updated last month
- ☆210Updated 9 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆31Updated 2 years ago
- ☆166Updated last year
- Geometric kernels on manifolds, meshes and graphs☆276Updated last week
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆34Updated last year
- Exact OU processes with JAX☆56Updated 7 months ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Matrix-free linear algebra in JAX.☆148Updated last week
- TorchFSM: Fourier Spectral Method with PyTorch☆50Updated last week
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆44Updated 2 years ago
- Code for the paper Universal Physics Transformers☆141Updated 4 months ago
- ☆14Updated 9 months ago
- Foundation Model for Physics Simulations☆108Updated 4 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Code for Lie Symmetries SSL paper☆24Updated last year
- Topological Deep Learning☆297Updated this week
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆49Updated 4 months ago
- Graph neural networks in JAX.☆68Updated last year
- ☆63Updated 2 years ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆36Updated 11 months ago
- Representation Learning on Topological Domains☆88Updated this week
- Code for reproducing the paper "Space-Time Continuous PDE Forecasting using Equivariant Neural Fields" (https://arxiv.org/abs/2406.06660)…☆13Updated last year
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 3 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆54Updated 2 years ago