repository and website for tutorials on 3d Euclidean equivariant neural networks
☆79Feb 24, 2021Updated 5 years ago
Alternatives and similar repositories for e3nn_tutorial
Users that are interested in e3nn_tutorial are comparing it to the libraries listed below
Sorting:
- A modular framework for neural networks with Euclidean symmetry☆1,226Feb 13, 2026Updated last month
- [ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations☆330Feb 11, 2025Updated last year
- Codebase for Cormorant Neural Networks☆60May 11, 2022Updated 3 years ago
- E(3) Steerable Graph Neural Network☆127Feb 10, 2023Updated 3 years ago
- NequIP is a code for building E(3)-equivariant interatomic potentials☆882Mar 4, 2026Updated 2 weeks ago
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆274Feb 11, 2025Updated last year
- Paper list for equivariant neural network☆1,084Aug 19, 2024Updated last year
- [npj Comp. Mat.] Higher-order equivariant neural networks for charge density prediction in materials☆71Feb 21, 2025Updated last year
- dftio is to assist machine learning communities to transcript DFT output into a format that is easy to read or used by machine learning m…☆15Dec 18, 2025Updated 3 months ago
- ☆28Nov 4, 2024Updated last year
- A modular framework for neural networks with Euclidean symmetry☆11Jul 1, 2024Updated last year
- Input files for Batzner, S., Musaelian, A., Sun, L., Geiger, M., Mailoa, J. P., Kornbluth, M., ... & Kozinsky, B. (2021). E(3)-equivarian…☆16Jul 3, 2025Updated 8 months ago
- Euclidean Neural Networks☆203Dec 19, 2020Updated 5 years ago
- ☆62Dec 8, 2024Updated last year
- MatID is a Python package for identifying and analyzing atomistic systems based on their structure.☆14Aug 26, 2025Updated 6 months ago
- graph2mat: Graph to matrix conversion☆21Jan 19, 2026Updated 2 months ago
- MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.☆1,108Updated this week
- PyTorch-based auto-differentiable orbital-free density functional theory package☆13Mar 19, 2024Updated 2 years ago
- Fast lightweight SOAP implementation for machine learning in quantum chemistry and materials physics.☆45Aug 13, 2019Updated 6 years ago
- Automated reaction mechanism generator and general boxed molecular dynamics package for accelerated sampling in molecular dynamics simula…☆16Jul 28, 2021Updated 4 years ago
- Contrastive pretraining to learn chemical reaction representations (RxnRep) for downstream tasks.☆34Aug 10, 2022Updated 3 years ago
- DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Awa…☆351Oct 3, 2023Updated 2 years ago
- Code for training PhysNet models☆113Oct 16, 2022Updated 3 years ago
- ☆19Oct 8, 2025Updated 5 months ago
- Generate and predict molecular electron densities with Euclidean Neural Networks☆49Sep 22, 2023Updated 2 years ago
- OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.☆133Mar 6, 2026Updated 2 weeks ago
- Another Molecular String Representation☆10Updated this week
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆80Dec 5, 2023Updated 2 years ago
- Gaussian Approximation Potential Training☆17Jan 22, 2022Updated 4 years ago
- E(2)-Equivariant CNNs Library for Pytorch☆672Oct 17, 2023Updated 2 years ago
- Mr. Network is a python reaction-network for molecular systems☆11Jun 22, 2022Updated 3 years ago
- This repo contains the datasets used for the paper The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.☆21Aug 30, 2022Updated 3 years ago
- This repository contains the source code for Bayesian Learned Interatomic Potentials (BLIP)☆31Aug 20, 2025Updated 7 months ago
- Deep Tensor Neural Network☆78Jul 11, 2017Updated 8 years ago
- Official implementation of HEGNN, a novel high-degree equivariant graph neural network proposed in the NeurIPS 2024 paper 'Are High-Degre…☆33Nov 8, 2024Updated last year
- Alchemical machine learning interatomic potentials☆34Nov 8, 2024Updated last year
- Torsion Angular Bin Strings: Quantifying flexibility by introducing a discrete vector representation of a conformer's dihedral angles to …☆16Jan 30, 2026Updated last month
- N-Dimensional MD engine with symmetry group constraints written in C☆49Jul 24, 2024Updated last year
- ☆16Jan 22, 2026Updated 2 months ago