IA y Machine Learning
Machine learning, generación aumentada por recuperación (RAG), aplicaciones de IA y web crawling.
Playwright Tutorial: Website Testing and Data Crawling
This directory contains comprehensive examples for using Playwright with Python for both website testing and data crawling.
Leer artículo →Quick Start Guide
Get started with web scraping in 5 minutes!
Leer artículo →Web Crawling Tutorial: From Beginner to Advanced
This repository contains comprehensive teaching materials and Python code examples for learning web crawling at three different levels.
Leer artículo →Scrapy Example
This directory contains a Scrapy spider example.
Leer artículo →Advanced Level: Professional Web Scraping
By the end of this level, you will be able to: Use Selenium to scrape JavaScript-heavy websites Implement asynchronous scraping for better performance Use the Scrapy framework for large-scale scraping Integrate scrapers
Leer artículo →Advanced Level Exercises
Hint: Try scraping a modern SPA (Single Page Application) website.
Leer artículo →Beginner Level: Introduction to Web Scraping
By the end of this level, you will be able to: Understand what web scraping is and when to use it Make HTTP requests to fetch web pages Parse HTML content using BeautifulSoup Extract specific data from web pages Handle b
Leer artículo →Beginner Level Exercises
Hint: Try scraping from a news website like BBC News or CNN.
Leer artículo →Intermediate Level: Advanced Web Scraping Techniques
By the end of this level, you will be able to: Handle pagination and navigate through multiple pages Submit forms and handle POST requests Implement rate limiting and respectful scraping Handle errors gracefully with ret
Leer artículo →Intermediate Level Exercises
Hint: Try scraping from a demo e-commerce site or use quotes.toscrape.com for practice.
Leer artículo →grouping_COSMO_Margules_all.ipynb 詳細分析報告
本 Jupyter Notebook 實作了一套物理約束神經網路 (PINN) 預測管線，用於預測氣液平衡 (VLE) 數據。方法結合了 COSMO 分子描述符與 Margules 活度係數模型。Notebook 載入預先訓練好的模型，針對二元混合物的熱力學性質（氣相組成 y 及系統壓力 P）進行預測，共約 17,600 筆數據。
Leer artículo →AI for Chemistry - 專案原理與運作說明
本專案是一個基於機器學習的化學性質預測系統，主要包含兩個子專案：: ChemProp_VP - 基於圖神經網絡（GNN）的分子性質預測模型，專注於蒸氣壓（Vapor Pressure）預測 2025_COSMO - 基於 COSMO（Conductor-like Screening Model）σ-profile 的汽液平衡（VLE）預測系統
Leer artículo →RAG + AI 完整教材
從零開始打造一套生產級 Retrieval-Augmented Generation（檢索增強生成）系統 > 主要技術棧：LangChain + OpenAI + Chroma；輔以 Ollama + FAISS 本地化方案 > 適合對象：Python 開發者、AI 應用工程師、資料工程師
Leer artículo →RAG AI 範例專案
依據 RAG_AI_完整教材.md 附錄 A 實作的生產級 PDF / Markdown 智能問答系統。
Leer artículo →范例科技 — 常見問題 FAQ
所有方案皆提供 14 天免費試用，試用期間不需信用卡資訊。
Leer artículo →范例科技股份有限公司員工手冊
版本 2024.10 — 本手冊為虛構範例資料，供 RAG 系統測試用。
Leer artículo →SSD — Sitio Web Portfolio
网站名称： 个人作品集网站（Portfolio Personal）
Leer artículo →Chijia · Portfolio personal
Diseño donde los humanos aterrizan suavemente. > 设计，让人轻轻落脚的地方。
Leer artículo →