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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

Picture from the openhackathons-org/End-to-End-AI-for-Science README

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

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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

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