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MLKit VS TensorFlow.js

Compare MLKit VS TensorFlow.js and see what are their differences

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MLKit logo MLKit

MLKit is a simple machine learning framework written in Swift.

TensorFlow.js logo TensorFlow.js

TensorFlow.js is a library for machine learning in JavaScript
  • MLKit Landing page
    Landing page //
    2023-09-15
  • TensorFlow.js Landing page
    Landing page //
    2023-10-23

MLKit videos

+ Add

Android Face Detection using Camera - Google MLKit Face Detection Android Studio - Firebase ML Kit

TensorFlow.js videos

+ Add

TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)

More videos:

  • Review - TensorFlow.js Community Show & Tell #1 - #MachineLearning in #JavaScript!
  • Review - Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)

Category Popularity

0-100% (relative to MLKit and TensorFlow.js)

MLKit

TensorFlow.js

Data Science And Machine Learning
83 83%
Data Science And Machine Learning
17% 17
Data Science Tools
70 70%
Data Science Tools
30% 30
Python Tools
100 100%
Python Tools
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100

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What are some alternatives?

When comparing MLKit and TensorFlow.js, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

OpenCV - OpenCV is the world's biggest computer vision library

NumPy - NumPy is the fundamental package for scientific computing with Python

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