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Train a bidirectional or normal LSTM recurrent neural network to generate text on a free GPU using any dataset. Just upload your text file and click run!

Home Page: https://colab.research.google.com/github/demmojo/colabrnn/blob/master/colabRNN.ipynb

License: MIT License

Python 58.57% Jupyter Notebook 41.43%
colaboratory rnn bidirectional-lstm lstm text-generator cloud-gpu jupyter-notebook

colabrnn's Introduction

colabrnn

Train either a bidirectional or normal LSTM recurrent neural network to generate text using any dataset. No need to write any code. Just upload your text file and click run!

You can generate text after your model has finished training as well! Also you can continue training a pre-trained model if it needs more training.

The best part is that all of the training is conducted on a free GPU courtesy of Colaboratory!

If you would like to try it out: go to this Colaboratory notebook.

colabrnn's People

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colabrnn's Issues

What's the difference between this repository and textgenrnn?

The code internally looks very similar, interestingly, even the same errors pop up when stress-testing it.
However, I can see that you added a python notebook and some configuration options (which really help quite a lot).
Is this more of a fork, or what's the difference between this repository and textgenrnn?

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