openhackathons-org / End-to-End-AI-for-Science
This repository containts materials for End-to-End AI for Science
Why this job: works in the areas we cover, but does not say which job it does

What it does
This Bootcamp will provide researchers hands-on approaches on how to use NVIDIA PhysicsNeMo, a framework that combines physics and partial differential equations (PDEs) with artificial intelligence (AI) to build robust models. Participants will also learn about the differences between Physics-driven and Data-driven approaches to AI. In addition, the Bootcamp will provide hands-on experience with visualizing the results of physics simulations using ParaView. This Lab will also introduce you to Earth2Studio where you get to try out different workflows for various Weather forecasting models!
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 14 days ago
- Stars
- 283
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- V1-2023
- Released 2 years ago
- Built with
- Jupyter Notebook
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 40% closed
- 9 still open
- Pull requests
- 25 merged
- 3 waiting
- Releases
- 1
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 98%
- Python 2%
- Dockerfile <1%
- Shell <1%
Topics
- ai
- artificial-intelligence
- fourcastnet
- hpc
- modulus
- navier-stokes
- omniverse
- pde
- physics-informed-neural-networks
- pinn
- weather-forecast
- ai4hpc
Project record
- JobOther AI tools
- StatusListed
- Commits175
- Forks92
- Watching9
- Stars in 28 days+19
- CreatedMar 23, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
