IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Last update: Dec 17, 2022

Overview

IDRLnet

IDRLnet is a machine learning library on top of PyTorch. 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.

Docs

Full docs
Tutorial
Paper:
- IDRLnet: A Physics-Informed Neural Network Library. arXiv

Installation

Choose one of the following installation methods.

PyPI

Simple installation from PyPI.

pip install -U idrlnet

Note: To avoid version conflicts, please use some tools to create a virtual environment first.

Docker

Pull latest docker image from Dockerhub.

docker pull idrl/idrlnet:latest
docker run -it idrl/idrlnet:latest bash

Note: Available tags can be found in Dockerhub.

Anaconda

conda create -n idrlnet_dev python=3.8 -y
conda activate idrlnet_dev
pip install idrlnet

From Source

git clone https://github.com/idrl-lab/idrlnet
cd idrlnet
pip install -e .

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
- NumPy
- Sympy==1.5.1
- pytorch>=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.

Citation

Feel free to cite this library.

@article{peng2021idrlnet,
      title={IDRLnet: A Physics-Informed Neural Network Library}, 
      author={Wei Peng and Jun Zhang and Weien Zhou and Xiaoyu Zhao and Wen Yao and Xiaoqian Chen},
      year={2021},
      eprint={2107.04320},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

Some code of the implements of Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network

3D-GMPDCNN Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network PyTorch implementation of "Geological Modeling Usin

5 Nov 21, 2022

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

Score-Based Generative Modeling through Stochastic Differential Equations This repo contains the official implementation for the paper Score-Based Gen

818 Jan 6, 2023

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Score-Based Generative Modeling through Stochastic Differential Equations This repo contains a PyTorch implementation for the paper Score-Based Genera

757 Jan 4, 2023

Code repo for "RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network" (Machine Learning and the Physical Sciences workshop in NeurIPS 2021).

RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network An official PyTorch implementation of the RBSRICNN network as desc

6 Nov 14, 2022

This is a model made out of Neural Network specifically a Convolutional Neural Network model

This is a model made out of Neural Network specifically a Convolutional Neural Network model. This was done with a pre-built dataset from the tensorflow and keras packages. There are other alternative libraries that can be used for this purpose, one of which is the PyTorch library.

9 Oct 18, 2022

Hierarchical-Bayesian-Defense - Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview)

Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical V

20 Dec 2, 2022

Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing

PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing CVPR 2021. Project page: https://kai-46.github.io/

141 Dec 14, 2022

Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators

Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators. It's also a suite of learning algorithms to train agents to operate in these environments (PPO, SAC, evolutionary strategy, and direct trajectory optimization are implemented).

1.5k Jan 2, 2023

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Interaction-Network-Pytorch Pytorch Implementraion of Interaction Networks for Learning about Objects, Relations and Physics. Interaction Network is a

117 Nov 5, 2022

Comments

Do you plan to keep developing this library?

Hi,

I'm a SimNet user, and I'm very interested in IDRLNet since the API seems similar, while the backend is PyTorch. Do you plan to keep developing IDRLNet?

opened by AndreaPi 1
Feat: support DeepRitz

Weinan, E.; Yu, B. The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems. Communications in Mathematics and Statistics 2018, 6 (1), 1–12.

opened by weipengOO98 0
GPU not available

Dear all, Thank you for this great contribution!

I installed the library according to the instructions, but I received this warning: [23-Sep-22 22:28:21] [INFO] GPU not available

Any suggestions on how to fix this?

opened by engsbk 0

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Related tags

Overview

IDRLnet

Docs

Installation

PyPI

Docker

Anaconda

From Source

Features

Contributing to IDRLnet

The Team

Citation

You might also like...

Some code of the implements of Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Code repo for "RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network" (Machine Learning and the Physical Sciences workshop in NeurIPS 2021).

This is a model made out of Neural Network specifically a Convolutional Neural Network model

Hierarchical-Bayesian-Defense - Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview)

Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing

Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Comments

Do you plan to keep developing this library?

Feat: support DeepRitz

GPU not available

Releases(v0.1.0)

v0.1.0(Aug 16, 2022)

v0.1.0-rc1(Aug 12, 2022)

v0.0.1(Jul 21, 2021)

v0.0.1-rc3(Jul 15, 2021)

v0.0.1-alpha(Jul 5, 2021)

Owner

IDRL

Preprossing-loan-data-with-NumPy - In this project, I have cleaned and pre-processed the loan data that belongs to an affiliate bank based in the United States.

PyTorch Implementation for Deep Metric Learning Pipelines

A Keras implementation of YOLOv3 (Tensorflow backend)

Python implementation of Project Fluent

Multi Agent Reinforcement Learning for ROS in 2D Simulation Environments

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

This is the code for the paper "Contrastive Clustering" (AAAI 2021)

Human Dynamics from Monocular Video with Dynamic Camera Movements

Sleep staging from ECG, assisted with EEG

Unofficial Implementation of MLP-Mixer, Image Classification Model

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

Code for the AAAI-2022 paper: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification

🚗 INGI Dakar 2K21 - Be the first one on the finish line ! 🚗

Bagua is a flexible and performant distributed training algorithm development framework.

ExCon: Explanation-driven Supervised Contrastive Learning

Implementation of Bottleneck Transformer in Pytorch

Adds timm pretrained backbone to pytorch's FasterRcnn model

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

Myia prototyping