https://github.com/david-r-cox/rnn-text-compress

Demo for MAA MathFest: Syntactically Informed Text Compression with Recurrent Neural Networks
https://github.com/david-r-cox/rnn-text-compress

Last synced: about 2 months ago
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Demo for MAA MathFest: Syntactically Informed Text Compression with Recurrent Neural Networks

• Host: GitHub
• URL: https://github.com/david-r-cox/rnn-text-compress
• Owner: david-r-cox
• Created: 2016-07-28T19:17:50.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-08-05T15:07:15.000Z (over 8 years ago)
• Last Synced: 2023-10-19T20:30:44.176Z (about 1 year ago)
• Language: Python
• Size: 2.46 MB
• Stars: 6
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Syntactically Informed Text Compression with Recurrent Neural Networks

## Installation

### Using our AMI:

Start a g2.2xlarge instance using our AMI ```ami-2c3a7a4c```.

```

git clone https://github.com/davidcox143/rnn-text-compress.git

cd rnn-text-compress

pip install -r requirements.txt

make

```

## Usage

### Train a model

```

python rnn-text-compress.py -t < path to text file >

```

### Evaluate accuracy of a single model

```

python rnn-text-compress.py -e < path to text file > < path to weights file >

```

### Evaluate the accuracy of a model over time and plot results

```

python rnn-text-compress.py -p < path to text file > < path to weights directory >

```