课程特别引入大语言模型（LLM）辅助科研新范式，从Ollama本地部署到LangChain射频智能体开发，帮助学员掌握AI Agent构建方法，推动射频信号智能处理技术向自动化、精准化、自适应方向发展。 核心目标：系统学习射频数据集的构建方法，掌握CNN、LSTM、Transformer ...

> Scikit-learn 依托于上述几种工具包，封装了大量经典以及最新的机器学习模型。该项目最早由 David Cournapeau 在2007 年 Google ...

Abstract: Python is a simple, dominant and well-organized interpreted language. Python is used to develop the very high performance scientific related application and it is used to develop an ...

"description": "A hands on tutorial covering broadcasting rules, strides / stride tricks and advanced indexing.\n\u200b\nPrerequisites: Comfortable with Python syntax, and some familiarity with NumPy ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Spinal Muscular Atrophy (SMA) is a genetic neurodegenerative disorder caused by reduced levels of the survival motor neuron (SMN) protein, leading to motor neuron dysfunction, muscle weakness, and ...

The following catalog lists all software for which a module exists. See the Installed Software Modules page for information about using software listed here. Note that where module preloads are listed ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

ABSTRACT: Photovoltaic solar energy is a vital resource in addressing global environmental and climate change challenges, with particular significance in Jordan. However, the weather, which varies ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...