sail-sg / stdeLinks
Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
☆122Updated 10 months ago
Alternatives and similar repositories for stde
Users that are interested in stde are comparing it to the libraries listed below
Sorting:
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- ☆176Updated last year
- Modern Fixed Point Systems using Pytorch☆116Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆67Updated 6 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆57Updated 3 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆15Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- Flow-matching algorithms in JAX☆105Updated last year
- Automatic Functional Differentiation in JAX☆78Updated 3 weeks ago
- ☆32Updated 2 months ago
- ☆18Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Implementation of Action Matching☆46Updated 2 years ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆175Updated 10 months ago
- code for "Riemannian Flow Matching on General Geometries".☆263Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆67Updated 4 months ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆37Updated 10 months ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆58Updated last month
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆81Updated 5 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆101Updated 3 months ago
- ☆272Updated last year
- ☆29Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆148Updated 5 months ago
- Code for the paper Universal Physics Transformers☆135Updated 3 months ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆37Updated 3 years ago
- Lightning-like training API for JAX with Flax☆42Updated 10 months ago
- ☆216Updated 10 months ago