TSA_GAN

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7de6cf33a345984940126d50e065b94a35bc10eb

Altered generator code to accept noise and, optionally, conditional random vector. No feedback is performed. Currently running experiments.

SSpencerWhitehead committed 6 years ago

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f6a032098aebef0afd9d6ac5a0286fb6fba31bb4

Made minor updates to training print-outs and added script for preprocessing.

SSpencerWhitehead committed 6 years ago

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7ac6fae30dc46bee50f290aacec46bd6bff7b0f4

Merge pull request #1 from SpencerWhitehead/gan

SSpencerWhitehead committed 6 years ago

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b62bb42100fd1a717ed7f01b3d2408e26e37293c

Finished non-conditional GAN implementation. Need to finish adding conditional GAN implementation.

SSpencerWhitehead committed 6 years ago

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06efc38a7db859c39a62b15ef409d49a64ffb5d0

Began removing NLP code. Need to update and test further.

SSpencerWhitehead committed 6 years ago

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d2c8d784995d7d9cd040ef06edc9f38b20ec55c7

Add files via upload

nnavatar5 committed 6 years ago

README

The README file for this repository.

TSA_GAN

Time Series Analysis Final Project

Implemented a recurrent conditional generative adversarial network (RCGAN). The model learns to generates EEG time series data by fooling a discriminator.

This repository supports several different options, such as using a feed forward or RNN discriminator as well as using conditional noise as input.

Requirements

Python 3.7.2
PyTorch 1.0.1