google-research / spherical-cnnLinks
☆118Updated 6 months ago
Alternatives and similar repositories for spherical-cnn
Users that are interested in spherical-cnn are comparing it to the libraries listed below
Sorting:
- S2FFT: Differentiable and accelerated spherical transforms☆195Updated this week
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated 4 months ago
- Multiple dispatch over abstract array types in JAX.☆125Updated last week
- Run PyTorch in JAX. 🤝☆252Updated 4 months ago
- ☆156Updated last year
- Differentiable signal processing on the sphere for PyTorch☆471Updated last week
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Stencil computations in JAX☆71Updated last year
- Running Jax in PyTorch Lightning☆102Updated 6 months ago
- Implementation of Forward Laplacian algorithm in JAX☆76Updated 3 weeks ago
- Graph neural networks in JAX.☆67Updated last year
- Diffusion models in PyTorch☆104Updated last week
- Stainless neural networks in JAX☆34Updated 2 weeks ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆66Updated this week
- Matrix-free linear algebra in JAX.☆125Updated last month
- Code for the paper Universal Physics Transformers☆116Updated 4 months ago
- Pytorch-like dataloaders for JAX.☆87Updated last month
- Differentiable and accelerated wavelet transform on the sphere with JAX☆20Updated last month
- Automatic Functional Differentiation in JAX☆72Updated 3 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated last month
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆164Updated 6 months ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆47Updated last month
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆109Updated 7 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 9 months ago
- ☆263Updated 9 months ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆97Updated last week
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆54Updated last month
- JAX Arrays for human consumption☆93Updated last week
- A Wadler--Lindig pretty printer for Python☆39Updated this week
- A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…☆43Updated 3 months ago