Optimized tranining recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
Project description
Modulus Launch (Beta)
:rotating_light: This repo has been upstreamed to Modulus repository
Modulus Launch is a PyTorch based deep-learning collection of training recipes and tools for creating physical surrogates. The goal of this repository is to provide a collection of deep learning training examples for different phenomena as starting points for academic and industrial applications. Additional information can be found in the Modulus documentation.
Modulus Packages
Installation
The PyPi wheel and Dockerfile for this project is being deprecated. The changes are upstreamed to the main Modulus repository. Please refer the Modulus repository and Getting Started Guide for installation instructions.
Contributing
For guidance on making a contribution to Modulus, see the contributing guidelines
Communication
- Github Discussions: Discuss architectures, implementations, Physics-ML research, etc.
- GitHub Issues: Bug reports, feature requests, install issues, etc.
- Modulus Forum: The Modulus Forum hosts an audience of new to moderate level users and developers for general chat, online discussions, collaboration, etc.
License
Modulus Launch is provided under the Apache License 2.0, please see LICENSE.txt for full license text.
Download files
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Source Distributions
Built Distribution
Hashes for nvidia_modulus.launch-0.3.1-py3-none-any.whl
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