Swift Performance AI – The BEST WordPress cache plugin

Active

$99

Country: United States

SEO Traffic: 72 /month

MRR (USD$): 34

What is Swift Performance AI?

  • Swift AI is a high-performance AI and machine learning library written entirely in Swift that includes a set of common tools used for machine learning and artificial intelligence research.
  • Easy to learn language incorpoated to provide many great attributes for development of all kinds.
  • The artificial intelligence helps with our machine learning functionsDocumentation is clear and straightforward to follow, and there is a lot of support from the community
  • Swift Performance AI is the most innovative WordPress Speed Up Plugin
  • Swift Performance AI use innovative techniques to achive REAL speed improvment.
  • Focusing on real user experience (field data), keep good content/code ratio and optimizing images in an SEO friendly way.
  • Using Swift for numeric programming, such as training machine learning models, is not an area that many people are working on.
  • There’s very little information around on the topic.
  • But after a few weeks of research and experimentation I’ve managed to create a couple of libraries that can achieve the same speed as carefully optimized vectorized C code, whilst being concise and easy to use.
  • In this article, I’ll take you through this journey and show you what I’ve learned about how to use Swift effectively for numeric programming.
  • I will include examples mainly from my BaseMath library, hich provides generic math functions for Float and Double, and optimized versions for various collections of them.

Introduction

  • Swift is a general-purpose, multi-paradigm, compiled programming language.
  • It was started by Chris Lattner while he was at Apple, and supported many concepts from Objective-C (the main language used for programming for Apple devices).
  • Chris described the language to me as “syntax sugar for LLVM”, since it maps so closely to many of the ideas in that compiler framework.
  • I’ve been coding for around 30 years, and in that time have used dozens of languages (and have even contributed to some.
  • I always hope that when I start looking at a new language that there will be some mind-opening new ideas to find, and Swift definitely doesn’t disappoint.
  • Swift tries to be expressive, flexible, concise, safe, easy to use, and fast.
  • Most languages compromise significantly in at least one of these areas.
  • Here’s my personal view of some languages that I’ve used and enjoyed, but all of which have limitations I’ve found frustrating at times.

Highlights

  • Python: Slow at runtime, poor support for parallel processing (but very easy to use)
  • C, C++: hard to use (and C++ is slow at compile time), but fast and (for C++) expressive
  • Javascript: Unsafe (unless you use Typescript); somewhat slow (but easy to use and flexible)
  • Julia: Poor support for general purpose programming, but fast and expressive for numeric programming. ( Edit: this may be a bit unfair to Julia; it’s come a long way since I’ve last looked at it!)
  • Java: verbose (but getting better, particularly if you use Kotlin), less flexible (due to JVM issues), somewhat slow (but overall a language that has many useful application areas)
  • C# and F#: perhaps the fewest compromises of any major programming language, but still requires installation of a runtime, limited flexibility due to garbage collection, and difficulties making code really fast (except on Windows, where you can interface via C++/CLI)

Features

Quick Setup

Page Cache

Cache Preloading

Gzip Compression

Browser Caching

Remove Query Strings

Lazyload

Minify CSS

Minify JS

Combine JS/CSS

Async Execute Combined JS

Defer JS, CDN Support

Cloudflare Support

Varnish Support

Mobile Detection

Multisite Compatibility

Woocommerce Friendly

WPML Support

Cache For Logged In Users

Database Optimizer

Import/Export

DNS Prefetch

Critical CSS On The Fly

Plugin Organizer

Appcache

AJAX Cache

Proxy 3rd Party JS

Inline Small Images

Google Analytics Bypass

Heartbeat Control

Alternatives

  • Keras
  • NVIDIA Deep Learning GPU Training System (DIGITS)
  • TFLearn
  • Microsoft Cognitive Toolkit (Formerly CNTK)
  • Google Cloud Deep Learning Containers
  • AWS Deep Learning AMIs
  • Synaptic.js
  • Clarifai

Pricing

This deal provides lifetime access to Support Center for $99only

Swift Performance AI lifetime pricing plans
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