Basic-Mathematics-for-Machine-Learning
awesome-ios
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Basic-Mathematics-for-Machine-Learning | awesome-ios | |
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1 | 7 | |
567 | 45,475 | |
- | - | |
10.0 | 7.6 | |
over 1 year ago | 9 days ago | |
Jupyter Notebook | Swift | |
Apache License 2.0 | MIT License |
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Basic-Mathematics-for-Machine-Learning
awesome-ios
- Cool Github repositories for Everyone
- Does iOS development have a community of libaries to use?
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I want to make my first original iOS app. For those that were in my position, was there anything you wish you knew about in terms of tools, resources, planning that would have made your journey way easier?
I'd look at the "awesome" stuff (iOS and Swift) https://github.com/vsouza/awesome-ios
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Creating Frameworks: What is Necessary?
Awesome iOS
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Junior Dev - Hit the ground running
You can find a bunch of open source projects here
What are some alternatives?
awesome-swift - A collaborative list of awesome Swift libraries and resources. Feel free to contribute!
CombineExt - CombineExt provides a collection of operators, publishers and utilities for Combine, that are not provided by Apple themselves, but are common in other Reactive Frameworks and standards.
SwiftLint - A tool to enforce Swift style and conventions.
PackageList - The master list of repositories for the Swift Package Index.
OAuthSwift - Swift based OAuth library for iOS
CocoaPods - The Cocoa Dependency Manager.
eufy-security-dashboard - Eufy Security iOS app for displaying camera and door sensors on a dashboard, with auto-refresh.
PullToDismiss - You can dismiss modal viewcontroller like Facebook Messenger by pulling scrollview or navigationbar in Swift.
Covfefe - A parser for nondeterministic context free languages
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
WWDC17-Recap - A collection of session summaries in markdown format, from WWDC 20, 19 & 17
FSharp.Stats - statistical testing, linear algebra, machine learning, fitting and signal processing in F#