lollcat / se3-augmented-coupling-flowsLinks
SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
☆24Updated last year
Alternatives and similar repositories for se3-augmented-coupling-flows
Users that are interested in se3-augmented-coupling-flows are comparing it to the libraries listed below
Sorting:
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆52Updated 7 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆39Updated 7 months ago
- ☆32Updated 3 years ago
- ☆12Updated last year
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation☆27Updated 8 months ago
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆109Updated 6 months ago
- ☆59Updated 3 years ago
- This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…☆66Updated last year
- [ICML 2025] Repurposing pre-trained score-based generative models for transition path sampling by minimizing the Onsager-Machlup (OM) act…☆18Updated 3 months ago
- Higher order equivariant graph neural networks for 3D point clouds☆45Updated 2 years ago
- ☆40Updated 3 years ago
- Steerable E(3) GNN in jax☆24Updated 2 years ago
- Boltzmann Generators and Normalizing Flows in PyTorch☆180Updated last year
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆67Updated 11 months ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆139Updated 3 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- E(3) Steerable Graph Neural Network☆123Updated 2 years ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆30Updated last year
- PySCF on IPU☆44Updated last year
- Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0☆17Updated 2 weeks ago
- ☆90Updated 3 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…☆62Updated 6 months ago
- repository and website for tutorials on 3d Euclidean equivariant neural networks☆75Updated 4 years ago
- Equivariant machine learning interatomic potentials in JAX.☆76Updated this week
- E(n) Equivariant GNN in jax☆14Updated 2 years ago
- jax library for E3 Equivariant Neural Networks☆216Updated 2 months ago
- Timewarp is a research project using deep learning to accelerate molecular dynamics simulation.☆56Updated last year
- [TMLR 2023] Simulate time-integrated coarse-grained MD with multi-scale graph neural networks☆72Updated 2 years ago
- Codebase for Cormorant Neural Networks☆60Updated 3 years ago