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Title: GitHub - NVIDIA/physicsnemo: Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Open Graph Title: GitHub - NVIDIA/physicsnemo: Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

X Title: GitHub - NVIDIA/physicsnemo: Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Description: Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods - NVIDIA/physicsnemo

Open Graph Description: Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods - NVIDIA/physicsnemo

X Description: Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods - NVIDIA/physicsnemo

Opengraph URL: https://github.com/NVIDIA/physicsnemo

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HP Labs 3D Printing teamhttps://developer.nvidia.com/blog/spotlight-hp-3d-printing-and-nvidia-physicsnemo-collaborate-on-open-source-manufacturing-digital-twin/
Stanford Cardiovascular research teamhttps://developer.nvidia.com/blog/enabling-greater-patient-specific-cardiovascular-care-with-ai-surrogates/
UIUC teamhttps://github.com/NVIDIA/physicsnemo/tree/main/examples/cfd/mhd_pino
CMU teamhttps://github.com/NVIDIA/physicsnemo/tree/main/examples/generative/diffusion
ORNL teamhttps://arxiv.org/abs/2404.05768
TU Munich CFD teamhttps://www.nvidia.com/en-us/on-demand/session/gtc24-s62237/
PhysicsNeMo Webpagehttps://developer.nvidia.com/physicsnemo
NVIDIA Blogshttps://developer.nvidia.com/blog/category/simulation-modeling-design/
proposal formhttps://forms.gle/XsBdWp3ji67yZAUF7
https://github.com/NVIDIA/physicsnemo#why-are-they-using-physicsnemo
https://github.com/NVIDIA/physicsnemo/blob/main/docs/img/value_prop/benchmarking.svg
https://github.com/NVIDIA/physicsnemo/blob/main/docs/img/value_prop/recipe.svg
https://github.com/NVIDIA/physicsnemo/blob/main/docs/img/value_prop/performance.svg
https://github.com/NVIDIA/physicsnemo#getting-started-with-physicsnemo
Using PhysicsNeMo with your PyTorch modelhttps://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/tutorials/simple_training_example.html#using-custom-models-in-physicsnemo
Using PhysicsNeMo built-in modelshttps://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/tutorials/simple_training_example.html#using-built-in-models
Getting Started Guidehttps://docs.nvidia.com/deeplearning/physicsnemo/getting-started/index.html
Reference Sampleshttps://github.com/NVIDIA/physicsnemo/blob/main/examples/README.md
User Guide Documentationhttps://docs.nvidia.com/deeplearning/physicsnemo/physicsnemo-core/index.html
https://github.com/NVIDIA/physicsnemo#learning-ai-physics
Explore Jupyter Notebooks on Hugging Facehttps://huggingface.co/collections/nvidia/physicsnemo
AI4Science PhysicsNeMo Bootcamphttps://github.com/openhackathons-org/End-to-End-AI-for-Science
Self-Paced DLI Traininghttps://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-OV-04+V1
Deep Learning for Science and Engineering Lecture Serieshttps://www.nvidia.com/en-us/on-demand/deep-learning-for-science-and-engineering/
Video Tutorialshttps://www.nvidia.com/en-us/on-demand/search/?facet.mimetype%5B%5D=event%20session&layout=list&page=1&q=physicsnemo&sort=relevance&sortDir=desc
https://github.com/NVIDIA/physicsnemo#resources
Getting Started Webinarhttps://www.nvidia.com/en-us/on-demand/session/gtc24-dlit61460/?playlistId=playList-bd07f4dc-1397-4783-a959-65cec79aa985
PhysicsNeMo: Purpose and Usagehttps://www.nvidia.com/en-us/on-demand/session/dliteachingkit-setk5002/
AI4Science PhysicsNeMo Bootcamphttps://github.com/openhackathons-org/End-to-End-AI-for-Science
PhysicsNeMo Pretrained Modelshttps://catalog.ngc.nvidia.com/models?filters=&orderBy=scoreDESC&query=PhysicsNeMo&page=&pageSize=
PhysicsNeMo Datasets and Supplementary Materialshttps://catalog.ngc.nvidia.com/resources?filters=&orderBy=scoreDESC&query=PhysicsNeMo&page=&pageSize=
https://github.com/NVIDIA/physicsnemo#installation
pyproject.tomlhttps://github.com/NVIDIA/physicsnemo/blob/main/pyproject.toml
training recipeshttps://github.com/NVIDIA/physicsnemo/blob/main/examples
https://github.com/NVIDIA/physicsnemo#pypi
Hello Worldhttps://github.com/NVIDIA/physicsnemo#hello-world
https://github.com/NVIDIA/physicsnemo#uv
uvhttps://docs.astral.sh/uv/
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NVIDIA Container Registryhttps://catalog.ngc.nvidia.com/orgs/nvidia/teams/physicsnemo/containers/physicsnemo
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https://github.com/NVIDIA/physicsnemo#platform-support
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https://github.com/NVIDIA/physicsnemo#dgl-to-pytorch-geometric-migration-guide
DGL-to-PyG migration guidehttps://github.com/NVIDIA/physicsnemo/blob/main/examples/dgl_to_pyg_migration.md
https://github.com/NVIDIA/physicsnemo#contributing-to-physicsnemo
contributing guidelineshttps://github.com/NVIDIA/physicsnemo/blob/main/CONTRIBUTING.md
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guidelineshttps://github.com/NVIDIA/physicsnemo/blob/main/CITATION.cff
https://github.com/NVIDIA/physicsnemo#communication
PhysicsNeMo Forumhttps://forums.developer.nvidia.com/t/welcome-to-the-physicsnemo-ml-model-framework-forum/178556
https://github.com/NVIDIA/physicsnemo#feedback
feedback formhttps://docs.google.com/forms/d/e/1FAIpQLSfX4zZ0Lp7MMxzi3xqvzX4IQDdWbkNh5H_a_clzIhclE2oSBQ/viewform?usp=sf_link
https://github.com/NVIDIA/physicsnemo#license
LICENSE.txthttps://github.com/NVIDIA/physicsnemo/blob/main/LICENSE.txt
developer.nvidia.com/physicsnemohttps://developer.nvidia.com/physicsnemo
machine-learning https://github.com/topics/machine-learning
deep-learning https://github.com/topics/deep-learning
physics https://github.com/topics/physics
pytorch https://github.com/topics/pytorch
nvidia-gpu https://github.com/topics/nvidia-gpu
nvidia-warp https://github.com/topics/nvidia-warp
Readme https://github.com/NVIDIA/physicsnemo#readme-ov-file
Apache-2.0 license https://github.com/NVIDIA/physicsnemo#Apache-2.0-1-ov-file
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Contributors 88https://github.com/NVIDIA/physicsnemo/graphs/contributors
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