Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

Abstract: Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing ...

Abstract: Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 101408, China ...

Set up the foundational structure for the machine learning module with core neural network types, tensor operations, and GPU acceleration support.

Introduction: Exposure to teratogenic compounds during pregnancy can lead to significant birth defects. Given the considerable variation in drug responses across species, along with the financial and ...

A high-performance Python package implementing the Quasi-Steady State (QSS) method for solving stiff ordinary differential equations, with particular focus on combustion chemistry applications. This ...