mcbal / spin-model-transformersLinks
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
☆41Updated last year
Alternatives and similar repositories for spin-model-transformers
Users that are interested in spin-model-transformers are comparing it to the libraries listed below
Sorting:
- Exact OU processes with JAX☆53Updated 6 months ago
- Implementation of approximate free-energy minimization in PyTorch☆20Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- Implementation of Action Matching☆46Updated 2 years ago
- diffusionjax is a simple and accessible diffusion models package in JAX☆47Updated 8 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- ☆51Updated 2 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆31Updated 2 years ago
- Riemannian Optimization Using JAX☆53Updated last year
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- Implementation of Forward Laplacian algorithm in JAX☆86Updated 2 weeks ago
- A collection of graph neural networks implementations in JAX☆34Updated last year
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆36Updated 3 weeks ago
- This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…☆25Updated last year
- Implementation of various equivariant models in JAX☆12Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆29Updated 7 months ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- Graph neural networks in JAX.☆67Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆101Updated 3 months ago
- Code for NeurIPS 2024 paper: "Noether's razor: Learning Conserved Quantities" by Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de H…☆11Updated 11 months ago
- Multiple dispatch over abstract array types in JAX.☆129Updated 3 weeks ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆135Updated last year
- Tidy autoregressive inference in JAX☆14Updated last month
- Automatic Functional Differentiation in JAX☆78Updated 3 weeks ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆49Updated 5 months ago