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Found 3 papers, 1 papers with code
In silico generation of novel, drug-like chemical matter using the LSTM neural network
In this article we present a method to generate molecules using a long short-term memory (LSTM) neural network and provide an analysis of the results, including a virtual screening test.
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Recurrent neural networks (RNNs) are widely used to model sequential data but their non-linear dependencies between sequence elements prevent parallelizing training over sequence length.
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