Poetry Generation with NLP
Keywords: Poetry generation, Natural Language Processing, Teacher forcing, GloVe, Deep learning, Optimization Github
Keywords: Poetry generation, Natural Language Processing, Teacher forcing, GloVe, Deep learning, Optimization Github
Keywords: Image classification, Interactive User Interface, Face detection, Image processing, Preprocessing, Visualization, Optimization Github
Keywords: Regression, Deep learning, Normalization, LSTM architecture Github
Keywords: Classification, Clinical trials, Predictive modeling, Data visualization, Data mining
Keywords: GloVe, Word2Vec
Keywords: Image classification, Convolutional neural network, Optimizers, Machine learning algorithms, Visualization, Image processing
Keywords: System design, REST API, Serverless Architecture, CRUD operations, Backend, User Acceptance Tests Github
Keywords: Serverless architecture, System design use case, Backend Github
Published in Schizophrenia Bulletin, 2022
Recommended citation: #### Sayli M Narkhede*, Lauren Luther*, Ian M Raugh*, Anna R Knippenberg*, Farnaz Zamani Esfahlani 2, Hiroki Sayama 3, Alex S Cohen 4, Brian Kirkpatrick 5, Gregory P Strauss*. (2022). "Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials." Schizophrenia Bulletin. https://pubmed.ncbi.nlm.nih.gov/34915570/
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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