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Anders Huss's Projects

adversarial-autoencoder icon adversarial-autoencoder

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

attrs icon attrs

Python Classes Without Boilerplate

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

blocks icon blocks

A Theano framework for building and training neural networks

bokeh icon bokeh

Interactive Web Plotting for Python

deep-dynamic-graphs icon 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"

dirhash icon dirhash

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

dirhash-python icon dirhash-python

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

dlmeetupsept2015 icon dlmeetupsept2015

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

dqn-tensorflow icon dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

extkeras icon extkeras

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.

gaepypi icon gaepypi

PyPI private package index on Google App Engine

intervaltree icon intervaltree

A mutable, self-balancing interval tree. Queries may be by point, by range overlap, or by range containment.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

mock-python-lib icon mock-python-lib

Mock python library for testing out travis and publishing to PyPI server

py-sci-ml icon py-sci-ml

Just listing some typical scientific and machine learning libraries (pip requirements.txt)

py-sci-ml-dl icon py-sci-ml-dl

Just listing some typical scientific, machine learning and deep learning libraries (pip requirements.txt)

scantree icon scantree

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

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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