getttttttt Goto Github PK

scraper-erabbit-mongodb

Scraper-Erabbit-MongoDB is to automate the extraction of product data from online stores, leveraging the power of Selenium and BeautifulSoup in Python. This tool is specifically configured for a Windows environment and requires Python 3.11.5.

second-hand-sale-system

shalegas-crosstechnology-lassoregression

ShaleGas-CrossTechnology-LassoRegression

shalegas-ipcnetwork-analysis

ShaleGas-IPCNetwork-Analysis

sora-weibo-emotion-recognition

We crawled the text data and user tags of relevant discussions on Weibo after Sora appeared, and conducted feature profiling and in-depth analysis based on user tags, including emotion recognition and Elastic Net Regression.

spark-iot-analysis

This repository contains the implementation of a Spark application designed to analyze IoT data samples. It includes code for loading data into HDFS, analyzing it using Spark Shell and Java, and instructions on setting up Spark, compiling, and running the application with Maven and spark-submit.

speech-to-text-emotional-generation

This Python-based project leverages advanced machine learning techniques to generate speech underlying emotions, enhancing user experience in applications ranging from virtual assistants to interactive gaming. Dive into our code, experiment with different emotional tones, and contribute to making digital communication more human-like!

synchronization-criticality-detection-ba-networks

Code for replicating models from 2 papers, utilizing Kuramoto library for integration. Investigate critical coupling strengths in BA networks of varying sizes, comparing with theoretical values to discuss existence of criticality vs finite size effects.

voter-model-long-range-interactions

Simulates Voter model on a 2D lattice with long-range edges. Analyzes how network size (N) and the proportion of long-range connections (p) influence the duration of metastable states.

wechat-crawler-get

weibo-fake-news-detection

A machine learning project to predict the veracity of Weibo information, evaluate feature importance, and explore the impact of large language models on generating and spreading fake news.