maxxxzdn / erwinLinks
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
☆109Updated 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]☆51Updated 8 months ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆128Updated 5 months ago
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆88Updated last year
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆90Updated last year
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆141Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- The Superposition of Diffusion Models Using the Itô Density Estimator☆50Updated 9 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆54Updated 9 months ago
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆68Updated 9 months ago
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆68Updated last year
- ☆36Updated this week
- code for "Riemannian Flow Matching on General Geometries".☆282Updated last year
- ☆43Updated 7 months ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆60Updated last year
- Implementation of Action Matching☆49Updated 2 years ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆30Updated 10 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 10 months ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Updated last year
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold☆69Updated 10 months ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆19Updated 11 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated last month
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆139Updated 4 years ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆67Updated 9 months ago
- ☆129Updated last year
- Score-based generative models for compact manifolds☆119Updated 2 years ago
- E(3) Steerable Graph Neural Network☆125Updated 2 years ago
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆110Updated 9 months ago
- 🍓 Build and train energy-based and diffusion models in PyTorch ⚡.☆71Updated 2 weeks ago
- Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…☆173Updated last year