maxxxzdn / erwin
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
☆48Updated this week
Alternatives and similar repositories for erwin:
Users that are interested in erwin are comparing it to the libraries listed below
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆47Updated 8 months ago
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆59Updated 6 months ago
- Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.☆28Updated 2 months ago
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆82Updated 11 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆32Updated 2 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆49Updated last month
- The Superposition of Diffusion Models Using the Itô Density Estimator☆43Updated last month
- Implementation of papers in 101 lines of code.☆18Updated last year
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆17Updated 3 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆103Updated 3 weeks ago
- [TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields☆33Updated 2 months ago
- ☆25Updated last month
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…☆60Updated 11 months ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆67Updated last year
- Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…☆122Updated 6 months ago
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆59Updated 3 weeks ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆53Updated 2 months ago
- Implementation of the Euclidean fast attention (EFA) algorithm☆49Updated 3 months ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated last year
- Flow-matching algorithms in JAX☆90Updated 8 months ago
- ☆34Updated 2 months ago
- Implementation of Action Matching☆41Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆44Updated 3 months ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆56Updated last year
- ☆11Updated last year
- Uncover meaningful structures of latent spaces learned by generative models with flows!☆42Updated 11 months ago
- [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation☆21Updated 2 months ago
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆57Updated last week