Software Alternatives & Reviews

Torch AI VS WEKA

Compare Torch AI VS WEKA and see what are their differences

Torch AI logo Torch AI

Torch is a scientific computing framework for LuaJIT.

WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.
  • Torch AI Landing page
    Landing page //
    2019-09-21
  • WEKA Landing page
    Landing page //
    2018-09-29

Torch AI videos

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WEKA videos

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 Torch AI and WEKA)
Data Science And Machine Learning
Data Science Tools
5 5%
95% 95
Python Tools
5 5%
95% 95
Software Libraries
100 100%
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 Torch AI and WEKA

Torch AI Reviews

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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...

Social recommendations and mentions

Based on our record, Torch AI seems to be more popular. It has been mentiond 3 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.

Torch AI mentions (3)

  • About luarocks, Lua ecosystem, etc.
    Here is the url to Torch: http://torch.ch/. Source: about 1 year ago
  • #
    I think you can use torch7 to do data science things but its development is a bit halted or something like that. It was pretty cool tho, you would have a C-level fast interpreter (LuaJIT) using a nice library. Source: about 2 years ago
  • 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 Torch AI and WEKA, you can also consider the following products

Pylearn2 - Pylearn2 is a library for machine learning research.

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

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

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

Caffe - Caffe is an open source, deep learning framework.

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