Learn Fultter: Everything You Need to Know

Flutter is Google’s UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. If you appreciate the content 📖, support projects visibility, give 👍| ⭐| 👏

Contents

  • Articles
  • Videos
  • Components
  • Navigation
  • Template
  • Plugins
  • Frameworks
  • Experimental
  • Gaming
  • Open Source Apps
  • Web
  • Utilities
  • Books
  • Bonus
  • Jobs
  • Community

Articles

Introduction

Websites / Blogs

Tutorial

Beginner

Advanced

Howtos

Videos

Components

Demonstrations

UI

Sticky Headers

Drawers

Bottom bars

Bottom Sheets

Sliders

UI Helpers

Material Design

Cupertino Design

Effect

Calendar

Login

Backend-Driven

  • Dynamic Widget [894⭐] - Build your dynamic UI with json, and the json format is very similar with flutter widget code by Denny Deng.

Image

Image Picker

Map

Charts

Navigation

Auth

Text & Rich Content

Analytics

Internationalization

Styling

Media

Audio

Video

Voice

Storage

Preferences

Monetization

Templates

Clone

Machine Learning

Vision

Augmented Reality

Plugins

Device

Scanner

Bluetooth / NFC / Beacon

Storage

Services

Frameworks

State management

Standard

  • Bloc [6920⭐] - Collection of packages that help implement the BLoC design pattern by Felix Angelov.
  • MobX [1866⭐] - Supercharge the state-management in your apps with Transparent Functional Reactive Programming (TFRP). Port of MobX from the Js/React land.
  • Provider [3499⭐] - State-management library for Flutter by Remi Rousselet.
  • RiverPod [1471⭐] - Provider, but different by Remi Rousselet.
  • GetX - Contextless, State-management & navigation by Jonny Borges.
  • Binder [153⭐] - A lightweight, yet powerful way to bind your application state with your business logic, by Romain Rastel.

Redux / ELM / Dependency Injection

  • Built redux [80⭐] - Automatic subscribing to your redux stores. Based on the built pattern by David Marne.
  • Redux.dart [1⭐] - Port of Redux to Dart with an ecosystem of middleware, Flutter integrations, and time traveling dev tools by John Ryan and Brian Egan.
  • Redux [1446⭐] - Built to work with redux.dart, utilities that allow you to easily consume a Redux Store to build Widgets.
  • Inject [832⭐] - Compile-time dependency injection by Google.
  • Flux [355⭐] - Implementation of the Flux framework by Google.
  • Fish [7018⭐] - Alibaba Redux implementation.
  • Async Redux [174⭐] - Redux without boilerplate. Allows for both sync and async reducers by Marcelo Glasberg.

Widgets

Data

Animation

Testing

Web

Experimental

This section contains libraries that take an experimental or unorthodox approach.

Engines

Rendering

  • Graphx [227⭐] - Making drawings and animations extremely simple, inspired by Flash, by Roi Peker.

Game

Open source games

Game Engine resources

  • Awesome Flame - Curated list of the best Flame games, projects, libraries, tools, tutorials, articles and more by Flame Engine.

Open Source Apps

Premium

Top

Utilities

VSCode

IntelliJ / Android Studio

Desktop

Books

Learning Flutter - Beginners

Cookbooks

Podcasts

English

Portuguese

Spanish

Bonus

Fun

Hardware

Guide & Interviews

Community

Presentation material

  • Logo - Logo for stickers impressions.

Communication

Misc

🇦🇴 Angola

🇦🇺 Australia

Bangladesh

🇧🇷 Brazil

cm Cameroon

🇨🇦 Canada

🇨🇮 Côte d'Ivoire (Ivory Coast)

🇩🇰 Denmark

🇪🇹 Ethiopia

🇫🇷 France

🇩🇪 Germany

🇬🇷 Greece

🇮🇹 Italy

🇮🇳 India

🇮🇱 Israel

🇮🇩 Indonesia

🇯🇵 Japan

🇰🇷 Korea

🇲🇾 Malaysia

🇳🇬 Nigeria

🇵🇰 Pakistan

🇵🇭 Philippines

🇵🇱 Poland

🇵🇹 Portugal

🇵🇪 Peru

🇷🇺 Russia

🇪🇸 Spain

🇱🇰 Sri Lanka

🇹🇷 Turkey

🇺🇦 Ukraine

🇬🇧 United Kingdom

🇺🇸 United States

🏴 Kurdistan

🇳🇴 Norway

🇺🇿 Uzbekistan

Download Details:

Author: Solido
Official Website: https://github.com/Solido/awesome-flutter 

What is GEEK

Buddha Community

Learn Fultter: Everything You Need to Know
Dejah  Reinger

Dejah Reinger

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Machine Learning | Everything you need to know

Machine learning is enabling computers to tackle tasks that have, until now, only been carried out by people.

From driving cars to translating speech, machine learning is driving an explosion in the capabilities of artificial intelligence— helping software make sense of the messy and unpredictable real world.

But what exactly is machine learning and what is making the current boom in machine learning possible?

#supervised-learning #machine-learning #reinforcement-learning #semi-supervised-learning #unsupervised-learning

Jerad  Bailey

Jerad Bailey

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Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

sophia tondon

sophia tondon

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5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

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Jackson  Crist

Jackson Crist

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Intro to Reinforcement Learning: Temporal Difference Learning, SARSA Vs. Q-learning

Reinforcement learning (RL) is surely a rising field, with the huge influence from the performance of AlphaZero (the best chess engine as of now). RL is a subfield of machine learning that teaches agents to perform in an environment to maximize rewards overtime.

Among RL’s model-free methods is temporal difference (TD) learning, with SARSA and Q-learning (QL) being two of the most used algorithms. I chose to explore SARSA and QL to highlight a subtle difference between on-policy learning and off-learning, which we will discuss later in the post.

This post assumes you have basic knowledge of the agent, environment, action, and rewards within RL’s scope. A brief introduction can be found here.

The outline of this post include:

  • Temporal difference learning (TD learning)
  • Parameters
  • QL & SARSA
  • Comparison
  • Implementation
  • Conclusion

We will compare these two algorithms via the CartPole game implementation. This post’s code can be found here :QL code ,SARSA code , and the fully functioning code . (the fully-functioning code has both algorithms implemented and trained on cart pole game)

The TD learning will be a bit mathematical, but feel free to skim through and jump directly to QL and SARSA.

#reinforcement-learning #artificial-intelligence #machine-learning #deep-learning #learning

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