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  1. An implementation of the algorithm proposed in 'A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent', Ben London 2018

    Jupyter Notebook 1

  2. End-to-end neural network for time series classification

    Jupyter Notebook 1

  3. A collection of the greatest hits from the field of algorithm design


  4. Port-Hamiltonian Approach to Neural Network Training

    Jupyter Notebook

188 contributions in the last year

Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri
Activity overview
Contributed to Zymrael/TDDA_dataset, Zymrael/vibnet, Zymrael/Algorithm-greatest-hits and 5 other repositories

Contribution activity

April 2019

Created a pull request in seungwonpark/RandWireNN that received 4 comments

Added MNIST and CIFAR10 dataloader funcs

Hello! I was trying to test some RandWireNNs but did not have enough compute available to prototype and quickly iterate with different random graph…

+113 −0 4 comments

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