haydn-jones / SOAP_JAXLinks
Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)
☆18Updated last year
Alternatives and similar repositories for SOAP_JAX
Users that are interested in SOAP_JAX are comparing it to the libraries listed below
Sorting:
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆55Updated 2 years ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆124Updated last year
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Updated 3 years ago
- ☆227Updated last year
- Implementation of PSGD optimizer in JAX☆35Updated 11 months ago
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 7 months ago
- Modern Fixed Point Systems using Pytorch☆125Updated 2 years ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- ☆19Updated last year
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆14Updated 3 years ago
- Neural Diffusion Processes☆81Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 6 months ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- Flow-matching algorithms in JAX☆112Updated last year
- ☆35Updated 8 months ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆29Updated last week
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆14Updated last month
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆39Updated 3 years ago
- diffusionjax is a simple and accessible diffusion models package in JAX☆48Updated 10 months ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Updated last year
- Differentiable Principal Component Analysis (PCA) implementation in JAX☆30Updated 7 months ago
- ☆35Updated last week
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year