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idrlnet
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@ -7,10 +7,7 @@
[![DockerHub](https://img.shields.io/docker/pulls/idrl/idrlnet.svg)](https://hub.docker.com/r/idrl/idrlnet) [![DockerHub](https://img.shields.io/docker/pulls/idrl/idrlnet.svg)](https://hub.docker.com/r/idrl/idrlnet)
[![CodeFactor](https://www.codefactor.io/repository/github/idrl-lab/idrlnet/badge/master)](https://www.codefactor.io/repository/github/idrl-lab/idrlnet/overview/master) [![CodeFactor](https://www.codefactor.io/repository/github/idrl-lab/idrlnet/badge/master)](https://www.codefactor.io/repository/github/idrl-lab/idrlnet/overview/master)
**IDRLnet** is a machine learning library on top of [PyTorch](https://pytorch.org/). Use IDRLnet if you need a machine learning library that solves both forward and inverse differential equations via physics-informed neural networks (PINN). IDRLnet is a flexible framework inspired by [Nvidia Simnet](https://developer.nvidia.com/simnet>).
**IDRLnet** is a machine learning library on top of [PyTorch](https://pytorch.org/). Use IDRLnet if you need a machine
learning library that solves both forward and inverse differential equations via physics-informed neural
networks (PINN). IDRLnet is a flexible framework inspired by [Nvidia Simnet](https://developer.nvidia.com/simnet>).
## Docs ## Docs
@ -66,21 +63,27 @@ pip install -e .
IDRLnet supports IDRLnet supports
- complex domain geometries without mesh generation. Provided geometries include interval, triangle, rectangle, polygon, - complex domain geometries without mesh generation. Provided geometries include interval, triangle, rectangle, polygon, circle, sphere... Other geometries can be constructed using three boolean operations: union, difference, and intersection;
circle, sphere... Other geometries can be constructed using three boolean operations: union, difference, and ![Geometry](https://raw.githubusercontent.com/weipeng0098/picture/master/20210617081809.png)
intersection;
- sampling in the interior of the defined geometry or on the boundary with given conditions.
- sampling in the interior of the defined geometry or on the boundary with given conditions. - enables the user code to be structured. Data sources, operations, constraints are all represented by ``Node``. The graph will be automatically constructed via label symbols of each node. Getting rid of the explicit construction via explicit expressions, users model problems more naturally.
- enables the user code to be structured. Data sources, operations, constraints are all represented by ``Node``. The graph - builds computational graph automatically;
will be automatically constructed via label symbols of each node. Getting rid of the explicit construction via
explicit expressions, users model problems more naturally.
![computationDomain](https://raw.githubusercontent.com/weipeng0098/picture/master/20220815142531.png)
- user-defined callbacks;
![callback](https://raw.githubusercontent.com/weipeng0098/picture/master/20220815142621.png)
- solving variational minimization problem; - solving variational minimization problem;
<img src="https://raw.githubusercontent.com/weipeng0098/picture/master/20210617082331.gif" alt="miniface" style="zoom:33%;" />
- solving integral differential equation;
- solving integral differential equation; - adaptive resampling;
- adaptive resampling;
- recover unknown parameters of PDEs from noisy measurement data. - recover unknown parameters of PDEs from noisy measurement data.
@ -99,12 +102,10 @@ First off, thanks for taking the time to contribute!
- **Reporting bugs.** To report a bug, simply open an issue in the GitHub "Issues" section. - **Reporting bugs.** To report a bug, simply open an issue in the GitHub "Issues" section.
- **Suggesting enhancements.** To submit an enhancement suggestion for IDRLnet, including completely new features and - **Suggesting enhancements.** To submit an enhancement suggestion for IDRLnet, including completely new features and minor improvements to existing functionality, let us know by opening an issue.
minor improvements to existing functionality, let us know by opening an issue.
- **Pull requests.** If you made improvements to IDRLnet, fixed a bug, or had a new example, feel free to send us a pull-request.
- **Pull requests.** If you made improvements to IDRLnet, fixed a bug, or had a new example, feel free to send us a
pull-request.
- **Asking questions.** To get help on how to use IDRLnet or its functionalities, you can as well open an issue. - **Asking questions.** To get help on how to use IDRLnet or its functionalities, you can as well open an issue.
- **Answering questions.** If you know the answer to any question in the "Issues", you are welcomed to answer. - **Answering questions.** If you know the answer to any question in the "Issues", you are welcomed to answer.