A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.
Abstract: Automated program repair techniques address software errors, vulnerabilities, and defects through automation. With the rapid development of deep learning, deep learning-based automated ...
Abstract: In the twilight of Moore’s law, optimizing program performance has emerged as a central focus in computer architecture research. Yet, high-level source optimization remains challenging due ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Marguerita is a Certified Financial Planner (CFP), Chartered Retirement Planning Counselor ...
For more than two decades, the support for seawater desalination using nuclear energy (in short, called nuclear desalination) has been repeatedly stressed at the General Conference and supported by ...
Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...
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Please note: synthcity does not handle missing data and so these values must be imputed first HyperImpute can be used to do this.
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