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Source channel @githubtrending · Post #15267 · Nov 4
#jupyter_notebook#deep_learning#pytorch You can learn PyTorch effectively in 20 days with a friendly, well-structured guide designed for those who already know some machine learning basics and have used Keras, TensorFlow, or PyTorch before. The book breaks down PyTorch concepts from easy to hard, with clear examples and practical code you can use right away. It includes a daily plan requiring 30 minutes to 2 hours, covering modeling, core concepts, APIs, and even advanced topics like GPU training and recommendation systems. This approach makes mastering PyTorch easier and faster, helping you build strong skills for deep learning projects and real applications. https://github.com/lyhue1991/eat_pytorch_in_20_days
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@QQZYDAPP · Post #5385 · 03/07/2026, 02:58 PM
⭐️【资源名称】WiFiAnalyzer 3.2.2 3 🤖【适用平台】: #Andoid 🧱【资源介绍】 是一款绿色小巧无广告的开源工具，专门设计用于分析和优化手机 WiFi 网络环境。它通过提供详尽的信号分析、接入点信息和频段使用情况，帮助用户诊断和改善无线网络性能。无论是家庭用户还是专业网络管理员，WiFiAnalyzer 都能提供必要的工具来优化网络连接。 🟡在线下载:点击下载 📁#WiFi#Analyzer
@githubtrending · Post #15374 · 12/28/2025, 01:00 PM
#shell#analyzer#appcleaner#clean#cleaner#cleaner_cli#cleaner_script#command_line#daisydisk#istat#mac#macos#optimize#sensei#shell#uninstall Mole is a free, open-source terminal tool that deeply cleans and optimizes your Mac by removing caches, logs, browser junk, and app leftovers—freeing up gigabytes like 95GB in one go. It smartly uninstalls apps with all hidden files, analyzes disk space visually, monitors CPU/memory live, and rebuilds caches for better speed. Install easily via curl or Homebrew, preview changes safely, and use Touch ID. This saves you money on paid cleaners, reclaims storage fast, boosts performance, and diagnoses issues simply from your terminal. https://github.com/tw93/Mole