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Pylearn2 VS WEKA

Compare Pylearn2 VS WEKA 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.

WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.
  • Pylearn2 Landing page
    Landing page //
    2023-09-15
  • WEKA Landing page
    Landing page //
    2018-09-29

Pylearn2 videos

No Pylearn2 videos yet. You could help us improve this page by suggesting one.

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WEKA videos

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Review of Feature Selection in Weka

More videos:

  • Review - Getting Started with Weka - Machine Learning Recipes #10
  • Tutorial - Data mining with Weka | Data mining Tutorial for Beginners

Category Popularity

0-100% (relative to Pylearn2 and WEKA)

Pylearn2

WEKA

Data Science And Machine Learning
16 16%
Data Science And Machine Learning
84% 84
Python Tools
18 18%
Python Tools
82% 82
Data Science Tools
17 17%
Data Science Tools
83% 83
Software Libraries
100 100%
Software Libraries
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pylearn2 and WEKA

Pylearn2 Reviews

We have no reviews of Pylearn2 yet.
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WEKA Reviews

15 data science tools to consider using in 2021
Weka is free software licensed under the GNU General Public License. It was developed at the University of Waikato in New Zealand starting in 1992; an initial version was rewritten in Java to create the current workbench, which was first released in 1999. Weka stands for the Waikato Environment for Knowledge Analysis and is also the name of a flightless bird native to New...
Source: searchbusinessanalytics.techtarget.com

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

WEKA mentions (0)

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

What are some alternatives?

When comparing Pylearn2 and WEKA, 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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