Software Alternatives & Reviews

htm.java VS Scikit-learn

Compare htm.java VS Scikit-learn and see what are their differences


htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

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

htm.java details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website github.com  

Scikit-learn details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website scikit-learn.org  

htm.java videos

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to htm.java and Scikit-learn)
41
41%
59%
59
44
44%
56%
56
21
21%
79%
79

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

htm.java mentions (0)

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

Scikit-learn mentions (7)

  • Top 10 Python Libraries for Machine Learning
    Website: https://scikit-learn.org/ Github Repository: https://github.com/scikit-learn/scikit-learn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling. - Source: dev.to / 17 days ago
  • Use Scikit-Learn and Runflow
    If you're not familiar with Scikit-learn and Runflow,. - Source: dev.to / 3 months ago
  • What Makes Python Libraries So Important For Data Science Learning?
    Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc. - Source: Reddit / 3 months ago
  • Introduction to Machine Learning with Python and Repl.it
    The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python. - Source: dev.to / 5 months ago
  • Something like The Odin Project but for Python and Machine Learning?
    I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 6 months ago
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What are some alternatives?

When comparing htm.java and Scikit-learn, you can also consider the following products

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 (Open Source Computer Vision) is a library of programming functions for real time computer...

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.

WEKA - WEKA is a set of powerful data mining tools that run on Java.

User reviews

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