physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Build and train AI models that apply physics knowledge to solve scientific problems.
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Free · no card · unsubscribe anytimeOpen-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
physicsnemo has 3.1k stars on GitHub. It has been forked 730 times. physicsnemo is written mainly in Python. It has been in active development since 2023. physicsnemo is available under the Apache-2.0 license. Its main topics are deep-learning, machine-learning, nvidia-gpu, nvidia-warp.
What is physicsnemo?
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Is physicsnemo open source?
physicsnemo is an open-source project. It is released under the Apache-2.0 license.
Is physicsnemo free?
Yes. physicsnemo is free and open source — you can use, modify and self-host it.
What license does physicsnemo use?
physicsnemo is available under the Apache-2.0 license.
What language is physicsnemo written in?
physicsnemo is written mainly in Python.
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