tychovdo / noethers-razorLinks
Code for NeurIPS 2024 paper: "Noether's razor: Learning Conserved Quantities" by Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de Haan.
☆10Updated 8 months ago
Alternatives and similar repositories for noethers-razor
Users that are interested in noethers-razor are comparing it to the libraries listed below
Sorting:
- Simple Scalable Discrete Diffusion for text in PyTorch☆33Updated 8 months ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- ☆34Updated 2 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆30Updated last year
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆28Updated 4 months ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆45Updated 3 months ago
- The Energy Transformer block, in JAX☆58Updated last year
- ☆26Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- ☆9Updated 2 years ago
- Transformers with doubly stochastic attention☆46Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- Scalable and Stable Parallelization of Nonlinear RNNS☆16Updated 4 months ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆17Updated 5 months ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆47Updated last month
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- ☆38Updated 2 years ago
- ☆24Updated last year
- Exact OU processes with JAX☆48Updated 3 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆66Updated this week
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 11 months ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- ☆33Updated last year
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- PySCF on IPU☆42Updated last year
- A collection of graph neural networks implementations in JAX☆32Updated last year
- ☆19Updated 3 years ago
- Neural Optimal Transport with Lagrangian Costs☆56Updated last month