Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.
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Original Paper : https://arxiv.org/abs/1806.07366
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Neural Ordinary Differential Equations and Dynamics Models : https://medium.com/@ml.at.berkeley/neural-ordinary-differential-equations-and-dynamics-models-1a4277fbb80
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Neural ODEs Implementation : https://github.com/msurtsukov/neural-ode/blob/master/Neural%20ODEs.ipynb
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Understanding Neural ODE's : https://jontysinai.github.io/jekyll/update/2019/01/18/understanding-neural-odes.html
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A brief tutorial on Neural ODEs : https://voletiv.github.io/docs/presentations/20200710_Mila_Neural_ODEs_tutorial_Vikram_Voleti.pdf
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Neural ODEs: breakdown of another deep learning breakthrough : https://towardsdatascience.com/neural-odes-breakdown-of-another-deep-learning-breakthrough-3e78c7213795
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Intro to Neural ODEs : Part 1 to 4: https://medium.com/analytics-vidhya/intro-to-neural-odes-part-1-resnets-4cf669d73460
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Neural Ordinary Differential Equations in Keras : https://github.com/jason71995/Keras_ODENet
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Neural ODEs (An Intuitive Understanding of the Basics) : https://medium.com/red-buffer/neural-odes-an-intuitive-understanding-of-the-basics-63d47464e009