Discover andhus/adversarial-autoencoder Open Source project

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andhus

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

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Python module and CLI for hashing of file system directories based on the Dirhash Standard.

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dirhash

The Dirhash Standard: A formal procedure for hashing of a filesystem directory.

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Flexible recursive directory iterator: `scandir` meets `glob("**", recursive=True)`

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Jupyter Notebook

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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.

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stockholm-ai-reading-group

Temporary place for code/notebooks/slides from Stockholm-AI reading group.

url-generation

RNN generation of phishy/non-phisy URL:s.

Python

deep-dynamic-graphs

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

andhus/adversarial-autoencoder

andhus

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