该存储库包含用于使用基于网络的方法分析水生食物网络的代码和数据。本研究的目的是探索水生食物网的结构，并确定关键物种和相互作用。提供的代码可用于复制分析，数据可用于详细探索结果
This repository contains code and data for the analysis of aquatic food webs using network-based methods. The aim of this study is to explore the structure of aquatic food webs and identify key species and interactions. The code provided can be used to replicate the analysis and the data can be used to explore the results in detail (2024-02-11, Jupyter Notebook, 0KB, 下载0次)
银河系软谱伽马射线源类分析代码
Code for analysis of a Galactic soft-spectrum gamma-ray source class (2021-02-09, Jupyter Notebook, 15KB, 下载0次)
银河系卫星平面分析代码
Analysis code for the Milky Way s plane of satellites (2022-10-09, Jupyter Notebook, 2812KB, 下载0次)
Spark的首席执行官和Python大数据媒体的应用...
Presentar panorámica general de Spark y su aplicación para manipulación de big data mediante los lenguajes de Python y SQL. Se explicará la arquitectura computacional de Spark y algunos ejemplo utilizando Google Colab. (2022-03-10, Jupyter Notebook, 2862KB, 下载0次)
在Tensorflow和Keras python中使用VGG人脸网进行人脸识别。在Colab中训练。
Face recognition with VGG face net in Tensorflow and Keras python.Trained in Colab. (2019-10-15, Jupyter Notebook, 1806KB, 下载0次)
使用暗网设置YOLOv3并在Google Colabora上对其进行训练和处理视频背后的代码介绍...
A walk through the code behind setting up YOLOv3 with darknet and training it and processing video on Google Colaboratory (2022-05-11, Jupyter Notebook, 2380KB, 下载0次)