Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...
Abstract: With the increasing demand for batch testing of fiber optic gyroscopes (FOGs) scale factor, accurate and low-complexity change point detection methods are essential for identifying state ...
A Java implementation of HyperLogLog whose goal is to be storage-compatible with other implementations. Similarly, certain parameters have different bounds in order to deal with VM limitations like ...
Abstract: Aitken gradient descent (AGD) algorithm takes some advantages over the standard gradient descent and Newton methods: 1) can achieve at least quadratic convergence in general; 2) does not ...
Event detection is an important application in demand-side management. Precise event detection algorithms can improve the accuracy of non-intrusive load monitoring (NILM) and energy disaggregation ...
Community driven content discussing all aspects of software development from DevOps to design patterns. The factorial of 5 is 120. The factorial of 10 is 3,628,800. Programmers can take one of two ...