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Pylearn2 VS MLKit

Compare Pylearn2 VS MLKit and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pylearn2 logo Pylearn2

Pylearn2 is a library for machine learning research.

MLKit logo MLKit

MLKit is a simple machine learning framework written in Swift.
  • Pylearn2 Landing page
    Landing page //
    2023-09-15
  • MLKit Landing page
    Landing page //
    2023-09-15

Pylearn2 videos

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MLKit videos

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

Category Popularity

0-100% (relative to Pylearn2 and MLKit)

Pylearn2

MLKit

Data Science And Machine Learning
44 44%
Data Science And Machine Learning
56% 56
Data Science Tools
62 62%
Data Science Tools
38% 38
Python Tools
68 68%
Python Tools
32% 32
Software Libraries
100 100%
Software Libraries
0% 0

User comments

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Social recommendations and mentions

Based on our record, Pylearn2 seems to be more popular. It has been mentiond 1 time 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.

Pylearn2 mentions (1)

  • iNeural : Update (8.12.21)
    It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements. - Source: dev.to / over 2 years ago

MLKit mentions (0)

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

What are some alternatives?

When comparing Pylearn2 and MLKit, 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.

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

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

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

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

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