Software Alternatives & Reviews

Floyd VS ML5.js

Compare Floyd VS ML5.js and see what are their differences

Floyd logo Floyd

Heroku for deep learning

ML5.js logo ML5.js

Friendly machine learning for the web
  • Floyd Landing page
    Landing page //
    2023-03-20
  • ML5.js Landing page
    Landing page //
    2021-10-12

Floyd videos

How to: Floyd Bed and Purple Mattress + Review (Not Sponsored)

More videos:

  • Review - Floyd Bed Frame Setup and Review - Is it Supportive Enough?
  • Review - FLOYD (FLAT PACK) REVIEW/UNBOXING | THE SOFA + THE COFFEE TABLE + THE FLOYD BED | APARTMENT BUNDLE

ML5.js videos

ml5.js: Train Your Own Neural Network

More videos:

  • Review - ml5.js: Image Classification with MobileNet
  • Review - Image classification to gif with ML5.js | Vue.js Virtual Meetup

Category Popularity

0-100% (relative to Floyd and ML5.js)
Data Science And Machine Learning
AI
25 25%
75% 75
Developer Tools
14 14%
86% 86
Data Science Tools
100 100%
0% 0

User comments

Share your experience with using Floyd and ML5.js. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, ML5.js seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Floyd mentions (0)

We have not tracked any mentions of Floyd yet. Tracking of Floyd recommendations started around Mar 2021.

ML5.js mentions (9)

  • Riffr - Create Photo Montages in the Browser with some ML Magic✨
    Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
  • Brain.js: GPU Accelerated Neural Networks in JavaScript
    See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
  • [Showoff Saturday] I made a captcha prototype that requires a banana
    I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
  • My First 30 Days of 100 Days of Code.
    Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / about 2 years ago
  • [D] Are you using PyTorch or TensorFlow going into 2022?
    From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
View more

What are some alternatives?

When comparing Floyd and ML5.js, you can also consider the following products

Deep Learning Gallery - A curated list of awesome deep learning projects

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Lobe - Visual tool for building custom deep learning models

Azure Machine Learning Service - Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.