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Samuel Burbulla committed Dec 4, 2023
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6 changes: 3 additions & 3 deletions README.md
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<img alt="Continuity" src="https://aai-institute.github.io/Continuity/img/logo.png" width="200">

Mapping continuous functions with neural networks.
Learning function operators with neural networks.

<a href="https://pytorch.org/get-started/locally/">
<img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-ee4c2c?logo=pytorch&logoColor=white">
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</div>

# Description
Continuity provides a python package for mapping continuous functions with
neural networks.
Continuity provides a python package for learning function operators with neural
networks.

# Quickstart

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4 changes: 2 additions & 2 deletions docs/index.md
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Continuity
==========

**Continuity** is a Python package for *mapping continuous functions with neural
**Continuity** is a Python package for *learning function operators with neural
networks*.

This package is based on PyTorch and provides a general interface for machine
learning on continuous functions. It implements various neural network
learning on functions operators. It implements various neural network
architectures, including DeepONets or neural operators, physics-informed loss
functions to train the networks based on PDEs, and a variety of benchmarks.

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