LSiM is a learned metric to compute distance values for 2D data from numerical simulations
☆28Oct 4, 2023Updated 2 years ago
Alternatives and similar repositories for LSIM
Users that are interested in LSIM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations☆15Oct 4, 2023Updated 2 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow☆24May 2, 2022Updated 4 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 3 years ago
- Unofficial mirror of Vega-FEM (http://run.usc.edu/vega/) with a fix or two☆10May 2, 2017Updated 9 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A python library to extract topographical features from elevation data.☆25Jan 15, 2024Updated 2 years ago
- Tools for analysis of climate model data☆17Nov 8, 2024Updated last year
- Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"☆187Mar 27, 2020Updated 6 years ago
- A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns☆12Jul 19, 2018Updated 7 years ago
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated 4 months ago
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆37May 13, 2026Updated last month
- ☆24Sep 24, 2023Updated 2 years ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Apr 27, 2020Updated 6 years ago
- NASA cloud science tutorials and science use cases☆25Nov 7, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Weather parameter post processing tool☆29Updated this week
- Test pytorch code with minimal computational overhead☆26Jun 8, 2023Updated 3 years ago
- Code and pretrained models accompanying the paper "Ensembling geophysical models using Bayesian Neural Networks"☆10Jul 11, 2022Updated 3 years ago
- Repository for our CVPR 2021 Global Flow Transport Paper☆20Jun 24, 2021Updated 4 years ago
- Physics-constrained deep learning postprocessing of temperature and humidity☆12May 10, 2023Updated 3 years ago
- ☆16Dec 24, 2024Updated last year
- ☆15Jun 4, 2014Updated 12 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14May 17, 2024Updated 2 years ago
- Deep Learning Scaling tutorial material for the Deep Learning for Science School at Berkeley Lab☆10Jul 19, 2019Updated 6 years ago
- 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.
- Implementation of the paper Gaussian Fluids: A Grid-Free Fluid Solver based on Gaussian Spatial Representation☆33Jun 2, 2025Updated last year
- NinoLearn is a research framework for statistical ENSO prediction.☆10Jul 10, 2020Updated 5 years ago
- dataframe visualiser☆17Aug 13, 2019Updated 6 years ago
- Create boundary and initial conditions for WRF-Chem simulation☆19Apr 29, 2026Updated last month
- Code for neural network parameterization project☆76Apr 24, 2020Updated 6 years ago
- XArray Environmental Data Services☆13Updated this week
- Mid-Latitude Evaluation System☆15Apr 14, 2021Updated 5 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 5 years ago
- Post-processing system that provides probabilistic forecasts at point scale.☆12Nov 24, 2025Updated 6 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A lightweight, fast, and accurate solver for grid-based ferrofluid simulations (2D Ver.)☆20May 9, 2024Updated 2 years ago
- Extended Sea Ice Outlook☆11Feb 17, 2019Updated 7 years ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Dec 2, 2021Updated 4 years ago
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆347Nov 15, 2022Updated 3 years ago
- a toolbox for Earth System Model analysis☆29Aug 8, 2021Updated 4 years ago
- Deep-Learning-Based Flow Prediction for CO2 Storage in Shale–Sandstone Formations☆11Jan 27, 2023Updated 3 years ago
- Code repository for the paper "A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling" by Kevin Höhlein, M…☆16Sep 9, 2020Updated 5 years ago