Flutter Weekly Issue 68

本文精选了一系列实用的Flutter插件及应用案例,包括文字分类、内存管理、空安全等教程,以及多种实用插件如flutter-gen、local-hero等,覆盖了从开发技巧到实际应用场景的多个方面。

教程

  1. 在 Flutter 中使用 TensorFlow Lite 插件实现文字分类

  2. Flutter包大小治理上的探索与实践

  3. 从渲染原理出发探究Flutter内存泄漏(超详细)

  4. 闲鱼对Flutter-Native混合工程解耦的探索

  5. Dart: 健全的空安全概览

  6. 深入理解 Dart 空安全

  7. FlutterDojo设计之道—状态管理之路(七)

插件

  1. flutter-gen

    The Flutter code generator for your assets, fonts, colors, … — Get rid of all String-based APIs.

  2. local-hero

    A widget which implicitly launches a hero animation when its position changed within the same route.

  3. contentful-rich-text-flutter

    Rich Text renderer that parses Contentful Rich Text JSON object and returns a renderable Flutter widget

  4. flutter-charset-detector

    Flutter plugin that detects the charset (encoding) of text bytes

  5. flutter-websocket-plugin

    Plugin with native integration for WebSocket.

  6. pinch-zoom

    A widget based on Flutter's new Interactive Viewer that makes picture pinch zoom, and return to its initial size and position when released.

  7. flutter-gen

    The Flutter code generator for your assets, fonts, colors, … — Get rid of all String-based APIs.

  8. pluto-grid

    PlutoGrid is a data grid that can be controlled by the keyboard on desktop and web. Of course, it works well on Android and IOS.

  9. flutter-device-locale

    A Flutter plugin for retrieving the device locale information.

  10. playify

    a Flutter plugin for play/pause/seek songs, fetching music metadata, and browsing music library.

  11. charcode

    Symbolic names for character codes in Dart

  12. list-tile-switch

    simple widget that combines ListTile with a switch.

  13. file.dart

    A pluggable, mockable file system abstraction for Dart. Supports local file system access, as well as in-memory file systems, record-replay file systems, and chroot file systems.

  14. passwd

    A beautiful, encrypted password manager, built using Flutter and Dart.

  15. vector-math

    A Vector math library for 2D and 3D applications.

  16. binder

    A lightweight, yet powerful way to bind your application state with your business logic.

  17. redux-compact

    a library that aims to reduce the massive amount of boilerplate that follows maintaining a Flutter Redux application.

  18. flutter-wechat-camera-picker

    A camera picker in WeChat style.

  19. retry

    Utility for wrapping an asynchronous function in automatic retry logic with exponential back-off, useful when making requests over network.

  20. sliver-tools

    A set of useful sliver tools that are missing from the flutter framework.

  21. flutter-audio-desktop

    A simple 🎵 audio playback library for Flutter Desktop. Windows & Linux support.

  22. animated-splash

    A light weight package for flutter apps, that easily shows a splash screen with a nice fade animation.

  23. biometric-storage

    Flutter plugin to store data behind biometric authentication (ie. fingerprint)

  24. flutter-avatars-bottts

    A high performance Flutter Widget to render Bottts svg avatars on android/ios devices.

  25. win32

    A package that wraps some of the most common Win32 API calls using FFI to make them accessible to Dart code without requiring a C compiler or the Windows SDK.

  26. flutter-portal

    Overlay/OverlayEntry, but better

  27. html-unescape

    Dart library for unescaping HTML-encoded strings

  28. future-button

    Customizable Material and Cupertino buttons with progress indicators and more

  29. duration

    Utilities to make working with 'Duration's easier.

  30. infinite-scroll-pagination

    Flutter package to help you lazily load and display pages of items as the user scrolls down your screen.

  31. database

    Database access for Dart developers.

  32. miniplayer

    A lightweight flutter package to simplify the creation of a miniplayer.

  33. flutter-cMoon-icons

    nsipred by Font awesome Icons package🤗. This package contains more than 2000 icons🥰. The amazing thing about this icons is that, it comes with it own default Colors🙌🏽 but you can change it to your own choice🤩.No need to bother yourself searching for social media icon 😬 colors.

  34. mainstream

    A StreamBuilder alternative that provides builder and event callbacks

  35. flutter-sequencer

    A Flutter plugin for music sequencing.

App

  1. recipe

    Recipe App made with Flutter

  2. Retter

    iOS/Android Reddit app created with Flutter

  3. BWO

    An infinity procedural online game using Flutter and flames with NodeJS and Firebase for the back-end

  4. mood-tracker

    a mood-tracker app, driven by daily journals. Keep track of how you feel on a day to day basis, and figure out what makes you happy, and what doesn't!

  5. SwiftSetFlutter

    Android and IOS fitness app that allows users to quickly find the perfect exercise for any situation from over 1100+ exercises in our database

  6. Taskist

    a ToDo List app for Task Management inspired by the design below

  7. WhatTodo

    A Simple Todo app design in Flutter to keep track of your task on daily basis. Its build on BLoC Pattern. You can add a project, labels, and due-date to your task also you can sort your task on the basis of project, label, and dates

🎁 福利

打开淘宝 app,输入密令: 吐丝播客和他的朋友们,获取 Toast.show(∞) 播客 听友专属福利,天天都可以领取

原文地址:https://flutterweekly.dev/flutter-weekly-issue-68/
版权声明:禁止一切形式的转载-禁止商用-禁止衍生

根据原作 https://pan.quark.cn/s/459657bcfd45 的源码改编 Classic-ML-Methods-Algo 引言 建立这个项目,是为了梳理和总结传统机器学习(Machine Learning)方法(methods)或者算法(algo),和各位同仁相互学习交流. 现在的深度学习本质上来自于传统的神经网络模型,很大程度上是传统机器学习的延续,同时也在不少时候需要结合传统方法来实现. 任何机器学习方法基本的流程结构都是通用的;使用的评价方法也基本通用;使用的一些数学知识也是通用的. 本文在梳理传统机器学习方法算法的同时也会顺便补充这些流程,数学上的知识以供参考. 机器学习 机器学习是人工智能(Artificial Intelligence)的一个分支,也是实现人工智能最重要的手段.区别于传统的基于规则(rule-based)的算法,机器学习可以从数据中获取知识,从而实现规定的任务[Ian Goodfellow and Yoshua Bengio and Aaron Courville的Deep Learning].这些知识可以分为四种: 总结(summarization) 预测(prediction) 估计(estimation) 假想验证(hypothesis testing) 机器学习主要关心的是预测[Varian在Big Data : New Tricks for Econometrics],预测的可以是连续性的输出变量,分类,聚类或者物品之间的有趣关联. 机器学习分类 根据数据配置(setting,是否有标签,可以是连续的也可以是离散的)和任务目标,我们可以将机器学习方法分为四种: 无监督(unsupervised) 训练数据没有给定...
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