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@DiffEqML

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  1. A PyTorch based library for all things neural differential equations

    Jupyter Notebook 303 23

  2. A collection of resources regarding the interplay between differential equations, dynamical systems and neural networks

    226 25

  3. Graph Neural Ordinary Differential Equations

    Jupyter Notebook 68 11

  4. WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

    Jupyter Notebook 39 6

  5. Port-Hamiltonian Approach to Neural Network Training

    Jupyter Notebook 11 2

  6. PyTorch Block-Diagonal ODE solver, optimized for Deep Learning

    Jupyter Notebook 10

673 contributions in the last year

Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Mon Wed Fri
Activity overview
Contributed to DiffEqML/torchdyn, Zymrael/awesome-neural-ode, Zymrael/PortHamiltonianNN and 5 other repositories
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Contribution activity

July 2020

Created an issue in DiffEqML/torchdyn that received 1 comment

v0.2.1

Planned features: Redesign of the plotting API. More modular and less convoluted. SDE Adjoint variant Autoregressive GDE Add more basis functi…

0 of 7 1 comment
2 contributions in private repositories Jul 7 – Jul 10

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