Solving Inverse Physics Problems with Score Matching
☆34Dec 4, 2023Updated 2 years ago
Alternatives and similar repositories for SMDP
Users that are interested in SMDP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2025] Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"☆51Apr 4, 2026Updated 4 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆34Updated this week
- ☆39Jul 9, 2025Updated last year
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆16Nov 18, 2025Updated 8 months ago
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆173Apr 29, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- ☆20May 25, 2024Updated 2 years ago
- ☆94Jul 18, 2023Updated 3 years ago
- [official] PyTorch implementation of Latent Diffusion Model for Conditional Reservoir Facies Generation☆21Nov 7, 2024Updated last year
- Learning Stochastic Dynamics with Statistics-Informed Neural Network☆11Sep 19, 2022Updated 3 years ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆217Dec 6, 2024Updated last year
- 用于下载文泉学堂教材图片的 Chrome 扩展程序（deprecated）☆14Oct 1, 2022Updated 3 years ago
- ☆62Jul 21, 2025Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆90Nov 4, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated 2 years ago
- Function and scripts to generate input files for the ROMS ocean model☆18Nov 16, 2025Updated 9 months ago
- This course focuses on computational methods in option and interest rate, product’s pricing and model calibration. The first module will …☆11Aug 25, 2022Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆72Jun 10, 2024Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆232May 28, 2023Updated 3 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆58Nov 27, 2022Updated 3 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆55May 31, 2023Updated 3 years ago
- CFD code for two dimensional Euler equation using finite volume techniques (unstructured mesh)☆15Nov 14, 2014Updated 11 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [TMLR] CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆84Feb 12, 2026Updated 6 months ago
- Config files for my GitHub profile.☆25Mar 23, 2025Updated last year
- [ICML 2023] Non-Uniform Neural Operator (NUNO)☆28Jul 3, 2023Updated 3 years ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆33Mar 22, 2026Updated 4 months ago
- ☆19Apr 5, 2024Updated 2 years ago
- [PACIS 2024] The official repo for the paper: "Phase Space Reconstructed Neural Ordinary Differential Equations Model for Stock Price For…☆10May 21, 2025Updated last year
- This is the code for "Neural Network Reconstruction of Plasma Space-Time" by C.Bard and J.Dorelli (DOI: 10.3389/fspas.2021.732275). It is…☆13Oct 6, 2021Updated 4 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆75Dec 28, 2025Updated 7 months ago
- ☆55Mar 12, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- ☆15Feb 17, 2025Updated last year
- Bayer, Friz, Gulisashvili, Horvath, Stemper (2017). Short-time near-the-money skew in rough fractional volatility models.☆13Mar 23, 2017Updated 9 years ago
- Predicting wave propagation on shallow water with deep neural networks☆23Oct 3, 2023Updated 2 years ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆58Jun 18, 2026Updated last month
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆20Sep 14, 2022Updated 3 years ago