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An deep leaning util based on tensorflow

Project description

# mautil An deep learning util based on tensroflow. - easy to build model and do experiments - easy to debug - support for colab tpu - no need to transfer data to tf records(non tpu)

# requirements tensorflow >= 1.11

# Install pip install mautil

# Demo ## Text style transfer - There are two text style transfer models. CA is an implementation of the paper [Style Transfer from Non-Parallel Text byCross-Alignment](https://papers.nips.cc/paper/7259-style-transfer-from-non-parallel-text-by-cross-alignment.pdf). CAR model just use reinforcement learning to bypass gumbel softmax - run the text style transfer model in debug mode

python train.py -m CAR -dataset yelp -d

## TPU - see the [notebook](demo/colab/mautil_tfxl_colab_tpu.ipynb) about how to train a transformer-xl model for dataset wikitext103 - the demo is for colab cloud tpu, you need google cloud storage access to run the demo

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