OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.
☆172Oct 25, 2026Updated this week
Alternatives and similar repositories for OpenEquivariance
Users that are interested in OpenEquivariance 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 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆74Nov 2, 2024Updated last year
- Pure C implementation of e3nn☆26Mar 17, 2025Updated 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…☆445Oct 21, 2026Updated last week
- Compute neighbor lists for atomistic systems☆88Oct 22, 2026Updated last week
- ☆18Feb 26, 2026Updated 8 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ML Performance and Extrapolation Guide (reference deployment https://ml-peg.stfc.ac.uk)☆71Updated this week
- [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential☆60Sep 26, 2025Updated last year
- [ICML'26] Phonon fine-tuning (PFT) and [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget☆80Apr 5, 2026Updated 6 months ago
- 🌟 [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics …☆109Jul 2, 2026Updated 3 months ago
- ☆61Updated this week
- ☆43Updated this week
- ☆22May 7, 2025Updated last year
- Allegro-pol extends the Allegro architecture to model the electric response of materials☆41May 30, 2026Updated 5 months ago
- An ASE-friendly implementation of the amorphous-to-crystalline (a2c) workflow.☆18Oct 19, 2025Updated last year
- 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.
- Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIP…☆108Jan 28, 2026Updated 9 months ago
- ☆63Sep 16, 2026Updated last month
- Torch-native, batchable, atomistic simulations.☆504Updated this week
- Self-describing sparse tensor data format for atomistic machine learning and beyond☆110Updated this week
- ALCHEMI Toolkit-Ops is a collection of optimized batch kernels to accelerate computational chemistry and material science workflows.☆250Oct 21, 2026Updated last week
- jax library for E3 Equivariant Neural Networks☆235Apr 1, 2026Updated 6 months ago
- electrostatic model sandbox based on the MACE MLIP architecture☆40Updated this week
- CatBench - Benchmark Framework of Machine Learning Interatomic Potentials in Adsorption Energy Predictions☆60Oct 19, 2026Updated last week
- Zero Shot Molecular Generation via Similarity Kernels☆31Aug 30, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆128Oct 20, 2026Updated last week
- Implementation of the Euclidean fast attention (EFA) algorithm☆106Jan 7, 2026Updated 9 months ago
- Torch-native C++/CUDA library to accelerate tensor-product layers in MLIPs☆62May 27, 2026Updated 5 months ago
- Equivariant machine learning interatomic potentials in JAX.☆113Aug 10, 2026Updated 2 months ago
- Machine learning potentials for modeling alloys across compositions☆13Oct 12, 2026Updated 2 weeks ago
- [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"☆42Dec 17, 2024Updated last year
- Tools for building equivariant polynomials on reductive Lie groups.☆39Jun 29, 2023Updated 3 years ago
- LES extension package for NequIP☆21Aug 14, 2026Updated 2 months ago
- EquiTriton is a project that seeks to implement high-performance kernels for commonly used building blocks in equivariant neural networks…☆77Oct 15, 2026Updated 2 weeks ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0☆22Nov 16, 2025Updated 11 months ago
- Particle-mesh based calculations of long-range interactions in PyTorch☆83Aug 3, 2026Updated 2 months ago
- pytorch implementation of dftd2 & dftd3 (not actively maintained)☆109Oct 21, 2026Updated last week
- PySCF with auto-differentiation☆117Updated this week
- Alchemical machine learning interatomic potentials☆39Nov 8, 2024Updated last year
- Display and Edit Molecules (https://zndraw.icp.uni-stuttgart.de)☆51Updated this week
- CUDA implementations of MACE models☆22Aug 19, 2025Updated last year