e3nn / e3nn-jaxLinks
jax library for E3 Equivariant Neural Networks
☆216Updated last month
Alternatives and similar repositories for e3nn-jax
Users that are interested in e3nn-jax are comparing it to the libraries listed below
Sorting:
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆108Updated 6 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆39Updated 7 months ago
- Boltzmann Generators and Normalizing Flows in PyTorch☆175Updated last year
- cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffD…☆308Updated this week
- Pytorch differentiable molecular dynamics☆180Updated 3 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…☆59Updated 5 months ago
- PySCF on IPU☆44Updated last year
- Equivariant machine learning interatomic potentials in JAX.☆75Updated this week
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- Higher order equivariant graph neural networks for 3D point clouds☆44Updated 2 years ago
- Build neural networks for machine learning force fields with JAX☆125Updated 4 months ago
- Exchange correlation functionals translated from libxc to jax☆45Updated 6 months ago
- OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.☆86Updated last month
- repository and website for tutorials on 3d Euclidean equivariant neural networks☆75Updated 4 years ago
- MESS: Modern Electronic Structure Simulations☆38Updated 2 weeks ago
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆66Updated 11 months ago
- ☆22Updated 5 months ago
- E(3) Steerable Graph Neural Network☆122Updated 2 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- Implementation of the Euclidean fast attention (EFA) algorithm☆55Updated 3 weeks ago
- ☆23Updated last year
- C++/CUDA library for SO(3) equivariant operations☆25Updated 2 months ago
- GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…☆105Updated last year
- ☆53Updated 2 years ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆30Updated last year
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆139Updated 3 years ago
- E(n) Equivariant GNN in jax☆14Updated 2 years ago
- ☆18Updated 2 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆52Updated 6 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year