emilemathieu / escnn_jaxLinks
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
☆31Updated 2 years ago
Alternatives and similar repositories for escnn_jax
Users that are interested in escnn_jax are comparing it to the libraries listed below
Sorting:
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- A library for programmatically generating equivariant layers through constraint solving☆273Updated 2 years ago
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- Exact OU processes with JAX☆53Updated 5 months ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆135Updated 3 years ago
- A collection of graph neural networks implementations in JAX☆33Updated last year
- jax library for E3 Equivariant Neural Networks☆214Updated 3 weeks ago
- Graph neural networks in JAX.☆67Updated last year
- Normalizing Flows using JAX☆84Updated last year
- Implementation of Action Matching☆44Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- Riemannian Optimization Using JAX☆52Updated last year
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- ☆51Updated 2 years ago
- Implementation of various equivariant models in JAX☆12Updated last year
- Use Jax functions in Pytorch☆249Updated 2 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆108Updated 5 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆51Updated 5 months ago
- Algorithms for computations on random manifolds made easier☆92Updated last year
- ☆52Updated 2 years ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆133Updated last year
- Implementation of Forward Laplacian algorithm in JAX☆84Updated 2 weeks ago
- JAX Arrays for human consumption☆106Updated 2 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆101Updated 2 months ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆29Updated 6 months ago
- COMP760 Lecture Notes☆26Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆38Updated 6 months ago