Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...
I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...
Texas Instruments MSPM33C321A is a new Arm Cortex-M33 mixed-signal microcontroller clocked at 160MHz, with up to 1MB of flash with ECC and 256kB SRAM with ECC, and a range of digital and analog ...
Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...
This assembly routine calculates the 16-bit Cyclic Redundancy Check on an Intel 8080 processor. It will also run on the 8085 or Z80. The main purpose of this was to make a simple routine that could ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
This repository contains a Python tutorial for using the ECCO Central Production version 4 ocean and sea-ice state estimate. Directories within the repository include the (tutorial documentation) and ...