maxxxzdn / erwinLinks
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
☆101Updated 3 months ago
Alternatives and similar repositories for erwin
Users that are interested in erwin are comparing it to the libraries listed below
Sorting:
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆49Updated 5 months ago
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆86Updated last year
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆133Updated last year
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆121Updated 2 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆67Updated 6 months ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆51Updated 6 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆52Updated 6 months ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆29Updated 7 months ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆57Updated last year
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆18Updated 8 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- ☆36Updated 3 months ago
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆66Updated 11 months ago
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆64Updated 7 months ago
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated 8 months ago
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆108Updated 6 months ago
- Implementation of Action Matching☆46Updated 2 years ago
- Code for the paper Universal Physics Transformers☆133Updated 3 months ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆138Updated 3 years ago
- ☆123Updated last year
- 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
- code for "Riemannian Flow Matching on General Geometries".☆263Updated last year
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆39Updated 7 months ago
- E(3) Steerable Graph Neural Network☆122Updated 2 years ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Updated last year
- ☆32Updated last month
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆67Updated 6 months ago
- Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…☆161Updated 11 months ago