forked from idrl/idrlnet
83 lines
2.9 KiB
Markdown
83 lines
2.9 KiB
Markdown
[](https://www.apache.org/licenses/LICENSE-2.0)
|
|
[](https://python.org)
|
|
|
|
## Installation
|
|
|
|
### Docker
|
|
|
|
```bash
|
|
git clone https://git.idrl.site/pengwei/idrlnet_public
|
|
cd idrlnet_public
|
|
docker build . -t idrlnet_dev
|
|
docker run -it -p [EXPOSED_SSH_PORT]:22 -v [CURRENT_WORK_DIR]:/root/pinnnet idrlnet_dev:latest bash
|
|
```
|
|
|
|
### Anaconda
|
|
|
|
```bash
|
|
git clone https://git.idrl.site/pengwei/idrlnet_public
|
|
cd idrlnet_public
|
|
conda create -n idrlnet_dev python=3.8 -y
|
|
conda activate idrlnet_dev
|
|
pip install -r requirements.txt
|
|
pip install -e .
|
|
```
|
|
|
|
# IDRLnet
|
|
|
|
IDRLnet is a machine learning library on top of [Pytorch](https://www.tensorflow.org/). Use IDRLnet if you need a machine
|
|
learning library that solves both forward and inverse partial differential equations (PDEs) via physics-informed neural
|
|
networks (PINN). IDRLnet is a flexible framework inspired by [Nvidia Simnet](https://developer.nvidia.com/simnet>).
|
|
|
|
## Features
|
|
|
|
IDRLnet supports
|
|
|
|
- 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;
|
|
|
|
- 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.
|
|
|
|
- solving variational minimization problem;
|
|
|
|
- solving integral differential equation;
|
|
|
|
- adaptive resampling;
|
|
|
|
- recover unknown parameters of PDEs from noisy measurement data.
|
|
|
|
It is also easy to customize IDRLnet to meet new demands.
|
|
|
|
- Main Dependencies
|
|
|
|
- [Matplotlib](https://matplotlib.org/)
|
|
- [NumPy](http://www.numpy.org/)
|
|
- [Sympy](https://https://www.sympy.org/)==1.5.1
|
|
- [pytorch](https://www.tensorflow.org/)>=1.7.0
|
|
|
|
## Contributing to IDRLnet
|
|
|
|
First off, thanks for taking the time to contribute!
|
|
|
|
- **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
|
|
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.
|
|
|
|
- **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.
|
|
|
|
## The Team
|
|
|
|
IDRLnet was originally developed by IDRL lab.
|
|
|