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  1. A curated list of awesome deep learning applications in the field of computational biology

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  2. Count models with TensorFlow and Keras

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  3. Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"

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  4. Diet networks in TensorFlow

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  5. Jupyter notebook for the application of convolutional neural nets to toy DNA sequence data

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  6. Forked from karpathy/arxiv-sanity-preserver

    Web interface for browsing, search and filtering recent biorxiv submissions

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