- Dec 01, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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- Nov 30, 2017
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Tim O'Donnell authored
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- Nov 28, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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- Nov 27, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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- Nov 26, 2017
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Tim O'Donnell authored
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- Nov 25, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
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- Nov 24, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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- Nov 15, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
* First cut of supporting quantiles ("percent ranks") per allele. Closes #87. * Some refactoring of amino_acid.py This builds on #114
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- Nov 14, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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- Nov 13, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
* Switch from JSON to YAML for hyperparameters * Pin tensorflow (hoping will help with #110)
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- Nov 08, 2017
- Oct 13, 2017
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Tim O'Donnell authored
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- Aug 16, 2017
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Tim O'Donnell authored
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- Aug 15, 2017
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Uri Laserson authored
Fixes #47.
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- Aug 03, 2017
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Tim O'Donnell authored
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Tim O'Donnell authored
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Tim O'Donnell authored
This should give a substantial prediction speed improvement as identified by @rohanpai * Add borrow_cached_network() method to Class1NeuralNetwork * Use cached models at in Class1NeuralNetwork.predict * Set names for all neural network layers so the model JSON is identical for identical architectures
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- Jul 31, 2017
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Tim O'Donnell authored
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- Jul 27, 2017
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Tim O'Donnell authored
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