risi-kondor / GElibLinks
C++/CUDA library for SO(3) equivariant operations
☆25Updated last month
Alternatives and similar repositories for GElib
Users that are interested in GElib are comparing it to the libraries listed below
Sorting:
- OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.☆99Updated last month
- Higher order equivariant graph neural networks for 3D point clouds☆46Updated 2 years ago
- ☆12Updated 2 years ago
- ☆23Updated 2 years ago
- Equivariant machine learning interatomic potentials in JAX.☆80Updated this week
- ☆22Updated 7 months ago
- [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget.☆53Updated this week
- Steerable E(3) GNN in jax☆24Updated 2 years ago
- A JAX-based Differentiable Density Functional Theory Framework for Materials☆41Updated last week
- CUDA implementations of MACE models☆20Updated 3 months ago
- Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting☆36Updated last year
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆109Updated 8 months ago
- Self-describing sparse tensor data format for atomistic machine learning and beyond☆90Updated last week
- Deprecated - see `pair_nequip_allegro`☆44Updated 7 months ago
- e3nn tutorial for Materials Research Society Fall Meeting 2021☆14Updated 4 years ago
- Computing representations for atomistic machine learning☆74Updated last week
- Pure C implementation of e3nn☆21Updated 8 months ago
- MESS: Modern Electronic Structure Simulations☆43Updated 2 months ago
- Jax / Haiku implementation of DimeNet++.☆18Updated 3 years ago
- MESS: Modern Electronic Structure Simulations☆20Updated last year
- ☆19Updated 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 7 months ago
- A library for building equivariant neural networks and a zoo of implementations & examples.☆32Updated 3 years ago
- python library for atomistic machine learning☆89Updated last month
- Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.☆97Updated 2 months ago
- High-performance operations for neural network potentials☆93Updated last week
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆40Updated 9 months ago
- [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation☆28Updated 9 months ago
- Robust NN MD simulator☆21Updated 2 years ago
- Compute neighbor lists for atomistic systems☆68Updated last month