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tensorflow
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A toy project started to see how well a simple LSTM model can autocomplete python code.
It gives quite decent results by saving above 30% key strokes in most files, and close to 50% in some. We calculated key strokes saved by making a single (best) prediction and selecting it with a single key.
We do a beam search to find predictions, upto ~10 characters ahead. So far it's too inefficient, if you are wondering about editor integration.
Toolkit for Text Generation and Beyond. Contribute to asyml/texar development by creating an account on GitHub.