[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
☆340Apr 10, 2026Updated 3 weeks ago
Alternatives and similar repositories for equiformer_v2
Users that are interested in equiformer_v2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆281Feb 11, 2025Updated last year
- [TMLR 2024 J2C Certification] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields☆42Feb 11, 2025Updated last year
- Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…☆289Dec 17, 2024Updated last year
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆70Nov 2, 2024Updated last year
- NequIP is a code for building E(3)-equivariant interatomic potentials☆900Apr 21, 2026Updated last week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A modular framework for neural networks with Euclidean symmetry☆1,249Feb 13, 2026Updated 2 months ago
- SevenNet - a graph neural network interatomic potential package supporting efficient multi-GPU parallel molecular dynamics simulations.☆243Apr 19, 2026Updated last week
- FAIR Chemistry's library of machine learning methods for chemistry☆2,079Apr 24, 2026Updated last week
- MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.☆1,160Apr 6, 2026Updated 3 weeks ago
- Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.☆16Dec 5, 2023Updated 2 years ago
- Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ https://www.youtube.com/@dr_k_choudhary☆317Aug 25, 2025Updated 8 months ago
- GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)☆218Apr 26, 2023Updated 3 years ago
- [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential☆60Sep 26, 2025Updated 7 months ago
- Training neural network potentials☆474Mar 31, 2026Updated last month
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- An evaluation framework for machine learning models simulating high-throughput materials discovery.☆222Updated this week
- A collection of QM data for training potential functions☆195Feb 25, 2026Updated 2 months ago
- ☆560Jul 10, 2022Updated 3 years ago
- The Nutmeg machine learning models☆11Jan 23, 2025Updated last year
- repository and website for tutorials on 3d Euclidean equivariant neural networks☆79Feb 24, 2021Updated 5 years ago
- An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]☆371Aug 14, 2024Updated last year
- Reference implementation of "Ewald-based Long-Range Message Passing for Molecular Graphs" (ICML 2023)☆53Jun 13, 2023Updated 2 years ago
- [NeurIPS 2023] The implementation for the paper "Crystal Structure Prediction by Joint Equivariant Diffusion"☆168Apr 14, 2025Updated last year
- Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials☆476Mar 4, 2026Updated last month
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffD…☆388Apr 22, 2026Updated last week
- A Multi-Operator Equivariant Framework for High-Performance Machine Learning Force Fields, supporting External Fields embedding and Physi…☆17Updated this week
- [NeurIPS 2025 Spotlight] E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products☆22Feb 16, 2026Updated 2 months ago
- ☆15Feb 5, 2025Updated last year
- jax library for E3 Equivariant Neural Networks☆229Apr 1, 2026Updated last month
- SchNetPack - Deep Neural Networks for Atomistic Systems☆916Apr 19, 2026Updated last week
- Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)☆110Dec 15, 2023Updated 2 years ago
- ORB forcefield models from Orbital Materials☆571Mar 18, 2026Updated last month
- Graph deep learning library for materials☆536Updated this week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Statistical Mechanics on Lattices☆96Updated this week
- AI-powered ab initio biomolecular dynamics simulation☆574Feb 18, 2025Updated last year
- Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023☆130Jun 5, 2024Updated last year
- ☆536Feb 23, 2022Updated 4 years ago
- Implementation of FlowSite and HarmonicFlow from the paper "Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding …☆106Jul 30, 2024Updated last year
- Neural Network Force Field based on PyTorch☆290Feb 10, 2026Updated 2 months ago
- Equivariant Diffusion for Crystal Structure Prediction (ICML 2024)☆29Aug 20, 2024Updated last year