OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.
☆161Jul 19, 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:
- cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffD…☆410Updated this week
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆74Nov 2, 2024Updated last year
- ☆18Feb 26, 2026Updated 4 months ago
- Pure C implementation of e3nn☆25Mar 17, 2025Updated last year
- Compute neighbor lists for atomistic systems☆83Jul 9, 2026Updated last week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICML'26] Phonon fine-tuning (PFT) and [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget☆76Apr 5, 2026Updated 3 months ago
- 🌟 [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics …☆104Jul 2, 2026Updated 2 weeks ago
- Allegro-pol extends the Allegro architecture to model the electric response of materials☆39May 30, 2026Updated last month
- ☆22May 7, 2025Updated last year
- ☆57Jun 16, 2026Updated last month
- An ASE-friendly implementation of the amorphous-to-crystalline (a2c) workflow.☆18Oct 19, 2025Updated 9 months ago
- [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential☆60Sep 26, 2025Updated 9 months ago
- ML Performance and Extrapolation Guide (reference deployment https://ml-peg.stfc.ac.uk)☆52Updated this week
- Self-describing sparse tensor data format for atomistic machine learning and beyond☆105Jul 10, 2026Updated last 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.
- Implementation of the Euclidean fast attention (EFA) algorithm☆101Jan 7, 2026Updated 6 months ago
- Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIP…☆105Jan 28, 2026Updated 5 months ago
- jax library for E3 Equivariant Neural Networks☆233Apr 1, 2026Updated 3 months ago
- Torch-native, batchable, atomistic simulations.☆477Jul 7, 2026Updated last week
- [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"☆41Dec 17, 2024Updated last year
- [ICML'25] The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products☆19Jul 16, 2025Updated last year
- [npj Comp. Mat.] Higher-order equivariant neural networks for charge density prediction in materials☆75Feb 21, 2025Updated last year
- Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0☆20Nov 16, 2025Updated 8 months ago
- Torch-native C++/CUDA library to accelerate tensor-product layers in MLIPs☆62May 27, 2026Updated last month
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ALCHEMI Toolkit-Ops is a collection of optimized batch kernels to accelerate computational chemistry and material science workflows.☆211Updated this week
- Particle-mesh based calculations of long-range interactions in PyTorch☆81Jul 1, 2026Updated 2 weeks ago
- Training Neural Network potentials through customizable routines in JAX.☆73Jun 30, 2026Updated 2 weeks ago
- CatBench - Benchmark Framework of Machine Learning Interatomic Potentials in Adsorption Energy Predictions☆55Jun 25, 2026Updated 3 weeks ago
- Zero Shot Molecular Generation via Similarity Kernels☆29Aug 27, 2025Updated 10 months ago
- ☆43May 8, 2026Updated 2 months ago
- pytorch implementation of dftd2 & dftd3 (not actively maintained)☆107Mar 11, 2026Updated 4 months ago
- [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation☆30Feb 24, 2025Updated last year
- Higher order equivariant graph neural networks for 3D point clouds☆49Jun 27, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- 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…☆16Dec 18, 2025Updated 7 months ago
- JAX implementation of the NequIP neural network interatomic potential☆17Feb 24, 2026Updated 4 months ago
- An evaluation framework for machine learning models simulating high-throughput materials discovery.☆240Updated this week
- Computing representations for atomistic machine learning☆82Jun 25, 2026Updated 3 weeks ago
- ☆137May 3, 2026Updated 2 months ago
- Enhanced sampling in the representation space of atomistic neural networks.☆15Jul 13, 2026Updated last week
- EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers☆112Apr 17, 2026Updated 3 months ago