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  1. Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

    Python 18

  2. Some tutorials put together for talk at StockholmAI Study Group 2017-06-01: "Application of RNNs to Multiple Asynchronous Event-Driven Data Streams"

    Jupyter Notebook 1 1

  3. Tutorial on how to get started with Recurrent Neural Networks using Blocks and Fuel.

    Jupyter Notebook 6 4

  4. Abstraction layer on top of h5py for storing time-indexed Pandas data (Series, DataFrame). Focus is fast retrieval of range and index queries but should also support flexible modification of data.

    Python 4 4

  5. Theano/Blocks implementation of the paper "Adversarial Autoencoders" by Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow (http://arxiv.org/abs/1511.05644)

    Jupyter Notebook 6 1

2,640 contributions in the last year

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Activity overview
Contributed to andhus/dirhash-python, andhus/dirhash, onnx/tensorflow-onnx and 3 other repositories

Contribution activity

March 2021

112 contributions in private repositories Mar 1 – Mar 15

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