maxxxzdn / jax-geometricLinks
Implementation of various equivariant models in JAX
☆12Updated last year
Alternatives and similar repositories for jax-geometric
Users that are interested in jax-geometric are comparing it to the libraries listed below
Sorting:
- Steerable E(3) GNN in jax☆24Updated 2 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆39Updated 8 months ago
- E(n) Equivariant GNN in jax☆14Updated 2 years ago
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- Nomalizing flows for orbita-free DFT☆11Updated last year
- Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0☆17Updated last month
- ☆53Updated 3 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆52Updated 7 months ago
- Forward mode laplacian implemented in JAX tracer☆29Updated last month
- ☆12Updated last year
- An implementation of SchNet in JAX and JAX-MD.☆17Updated 3 years ago
- ☆34Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- ☆22Updated 6 months ago
- [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation☆28Updated 8 months ago
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆109Updated 7 months ago
- Higher order equivariant graph neural networks for 3D point clouds☆45Updated 2 years ago
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆63Updated 6 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- ☆14Updated 2 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆31Updated 2 years ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆31Updated last year
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆16Updated 4 years ago
- A JAX library for Density Functional Theory.☆54Updated 4 months ago
- ☆16Updated 3 years ago
- PySCF on IPU☆44Updated last year
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆30Updated 5 years ago
- Implementation of Forward Laplacian algorithm in JAX☆89Updated last month
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆85Updated last year