Skip to main content

Modulus Launch (Beta)

Project Status: Moved GitHub Code style: black

: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.

Metadata

Release files for nvidia-modulus.launch 0.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for nvidia-modulus.launch 0.3.1
File Interpreter ABI Platform
nvidia_modulus.launch-0.3.1-py3-none-any.whl Python 3 none any Details

Release files / nvidia_modulus.launch-0.3.1-py3-none-any.whl

Download URL nvidia_modulus.launch-0.3.1-py3-none-any.whl
Size 23.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
27d583ef2b5f69188cc37550c6a1297055e322a2e281ff37bfd056a12d5f7457
BLAKE2b-256 checksum
How to use checksums
54d90ab93acdee89cd2ad5d2ac8012dd2bcd478cdc800a062aeea1cfa339b32f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.9.6 readme-renderer/42.0 requests/2.31.0 requests-toolbelt/1.0.0 urllib3/2.0.7 tqdm/4.66.1 importlib-metadata/6.8.0 keyring/24.2.0 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.12

Release history Release notifications | RSS feed

This release

0.3.1 This release

1 release file

0.3.0

1 release file

0.2.0

1 release file

0.1.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page