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https://github.com/ileodo/awesome-collection

My Awesome Collection (Bookmarks)
https://github.com/ileodo/awesome-collection

List: awesome-collection

Last synced: 3 months ago
JSON representation

My Awesome Collection (Bookmarks)

Host: GitHub
URL: https://github.com/ileodo/awesome-collection
Owner: ileodo
Created: 2016-12-11T20:04:32.000Z (almost 8 years ago)
Default Branch: master
Last Pushed: 2018-05-01T20:36:21.000Z (over 6 years ago)
Last Synced: 2024-08-03T07:01:13.804Z (3 months ago)
Size: 1.95 KB
Stars: 1
Watchers: 4
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

ultimate-awesome - awesome-collection - My Awesome Collection (Bookmarks). (Other Lists / PowerShell Lists)

README

        # awesome-collection

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

> A curated list of curated list.

## Development:

- Platfom

  - iOS

    - [iOS](https://github.com/vsouza/awesome-ios) iOS frameworks, libraries, tutorials, Xcode extensions and plugins, components and much more

    - [iOS UI](https://github.com/cjwirth/awesome-ios-ui) iOS UI/UX libraries

- Language

  - C/C++

    - [C/C++](https://github.com/fffaraz/awesome-cpp) C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff

  - JAVA

    - [Java](https://github.com/akullpp/awesome-java) Java frameworks, libraries and software

- Git

  - [GitHub](https://github.com/phillipadsmith/awesome-github) - Hosting service for Git repositories.

	- [Browser Extensions](https://github.com/stefanbuck/awesome-browser-extensions-for-github)

	- [Cheat Sheet](https://github.com/tiimgreen/github-cheat-sheet)

  - [Git Cheat Sheet & Git Flow](https://github.com/arslanbilal/git-cheat-sheet)

  - [Git Tips](https://github.com/git-tips/tips)

  - [Git Add-ons](https://github.com/stevemao/awesome-git-addons) - Enhance the `git` CLI.

- Software Specific

  - [Vagrant](https://github.com/iJackUA/awesome-vagrant) Vagrant resources, plugins, tutorials and other nice things.

  - [Docker](https://github.com/veggiemonk/awesome-docker) Docker resources and projects

  - [Sublime Text](https://github.com/dreikanter/sublime-bookmarks)

  - [Vim](https://github.com/mhinz/vim-galore)

- Environment

  - [Dev Env](https://github.com/jondot/awesome-devenv)

  - [Dotfiles](https://github.com/webpro/awesome-dotfiles) 

## Application:

- macOS

  - [mac](https://github.com/jaywcjlove/awesome-mac) Mac applications and tools for developers and designers

  - [macOS](https://github.com/iCHAIT/awesome-macOS) awesome applications, softwares, tools and shiny things for macOS

  - [Command-Line](https://github.com/herrbischoff/awesome-osx-command-line) shell commands and tools specific to OS X

	- [Screensavers](https://github.com/aharris88/awesome-macos-screensavers) macOS screensavers

  - [Quick Look Plugins](https://github.com/sindresorhus/quick-look-plugins) macOS Quicklook plugins

- Windows

  - [Windows](https://github.com/Awesome-Windows/Awesome) best applications and tools for Windows

- Command Line

  - [Command-Line Apps](https://github.com/aharris88/awesome-cli-apps)

  - [Shell](https://github.com/alebcay/awesome-shell)

  - [ZSH Plugins](https://github.com/unixorn/awesome-zsh-plugins)

- Alfred

  - [Alfred Workflows](https://github.com/derimagia/awesome-alfred-workflows)

  

  

## Knowledge

- Data Science

  - [Data Science](https://github.com/bulutyazilim/awesome-datascience)

	- [Tutorials](https://github.com/siboehm/awesome-learn-datascience)

- Machine Learning

  - [Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)

	- [Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)

	- [ML with Ruby](https://github.com/arbox/machine-learning-with-ruby)

	- [Core ML Models](https://github.com/likedan/Awesome-CoreML-Models)

- Deep Learning

  - [Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning)

	- [TensorFlow](https://github.com/jtoy/awesome-tensorflow)

	- [Papers](https://github.com/terryum/awesome-deep-learning-papers)

	- [Education](https://github.com/guillaume-chevalier/awesome-deep-learning-resources)

- NLP

  - [Speech and Natural Language Processing](https://github.com/edobashira/speech-language-processing)

	- [NLP with Ruby](https://github.com/arbox/nlp-with-ruby)

  

## Miscellaneous