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A Python module for easily training character- or word-level text-generating neural networks on any dataset with minimal code.
A deep learning model for machine comprehension that uses bi-directional attention flow to answer questions about text passages.
TensorFlow implementation of an attention-based neural image caption generator that focuses on relevant image parts while generating words.
A pre-trained BERT model designed for DNA sequence analysis, enabling genome understanding tasks like classification and motif discovery.
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