sail-sg / stdeLinks
Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
☆124Updated last year
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"☆55Updated 2 years ago
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆14Updated last month
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- Modern Fixed Point Systems using Pytorch☆125Updated 2 years ago
- ☆196Updated last year
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆181Updated last year
- Automatic Functional Differentiation in JAX☆80Updated 2 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 3 years ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆156Updated 7 months ago
- ☆278Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆70Updated 6 months ago
- Flow-matching algorithms in JAX☆112Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆59Updated 5 months ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆62Updated 3 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 6 months ago
- ☆18Updated 2 years ago
- ICON for in-context operator learning☆59Updated 9 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆297Updated this week
- Code for the paper Universal Physics Transformers☆146Updated 5 months ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆49Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆140Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆162Updated 8 months ago
- ☆31Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆109Updated 2 months ago