README

Introduction

Theory and general introduction

• Refer to this Alex Honchar's article or NeuralODE_Alex_Honchar.htlm

Tutorial

• Refer to NeuralODE_tutorial.ipynb

Installation

Jupyter notebook

• Install jupyter notebook: pip install jupyter
• Run jupyter notebook: jupyter notebook

Pytorch and torchdyn with a GPU

1. Create new env: conda create --name py38torch python=3.8
2. Active env: conda activate py38torch
4. Install torchdyn: pip install torchdyn==1.0.3
5. Install torch: conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia
==> Install 4, 5 in the end to avoid packages overwritten

Note

• Recommend to use conda to install packages for convenience

• If you dont have GPU, please refer to Torch website for more details

Recommendations for further reading

NeuralODEs and its applications

• [Journal paper] Neural Ordinary Differential Equations
• [Presentation video] Neural Ordinary Differential Equations
• [Github] Tutorials and NeuralODE variants
• [Journal paper] Neural Controlled Differential Equations for Irregular Time Series
• [Presentation video] Neural Controlled Differential Equations for Irregular Time Series

Other Time series forecasting models

• [Article] The Best Deep Learning Models for Time Series Forecasting
• [Article] DeepAR: Mastering Time-Series Forecasting with Deep Learning
• [Article] DeepAR: Mastering Time-Series Forecasting with Deep Learning
• [Python library] PyTorch Forecasting
• [Article] Time Series Forecasting with Neural Ordinary Differential Equations

Marine vehicles hydrodynamics and related machine learning applications

• [Book chapter] Autonomous Underwater Vehicle Dynamics: Top priority
• [Book] HANDBOOK OF MARINE CRAFT HYDRODYNAMICS AND MOTION CONTROL
• [Book] Modelling and Control of Dynamic Systems Using Gaussian Process Model
• [Journal paper] Nonparametric modeling of ship maneuvering motion based on self-designed fully connected neural network
• [Journal paper] Identification and Prediction of Ship Maneuvering Motion Based on a Gaussian Process with Uncertainty Propagation
• [Journal paper] System identification of ship dynamic model based on Gaussian process regression with input noise

Tips for reading articles on Medium or towardsdatascience without subscription

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