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htm.java VS Numenta

Compare htm.java VS Numenta and see what are their differences

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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
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htm.java logo htm.java

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.

Numenta logo Numenta

Numenta is a machine intelligence solution that delivers capabilities and demonstrates a computing approach based on biological learning principles.
  • htm.java Landing page
    Landing page //
    2023-09-12
  • Numenta Landing page
    Landing page //
    2023-10-15

Category Popularity

0-100% (relative to htm.java and Numenta)

htm.java

Numenta

Data Science Tools
95 95%
Data Science Tools
5% 5
Data Science And Machine Learning
95 95%
Data Science And Machine Learning
5% 5
Python Tools
97 97%
Python Tools
3% 3
Software Libraries
50 50%
Software Libraries
50% 50

User comments

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Social recommendations and mentions

Based on our record, Numenta 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.

htm.java mentions (0)

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

Numenta mentions (3)

  • New Open Source AGI Project
    The whole of Computational Neuroscience is open-source. Just because they don't scream "AGI" doesn't mean they don't want to get there. Comprehensive modeling is called https://en.wikipedia.org/wiki/Brain_simulation, radically simplified scheme is explored by Numenta: https://numenta.com/, they have good forum: https://discourse.numenta.org/latest. Source: over 1 year ago
  • [R] Visualizing the neural network: A deep learning approach to visualizing the dynamics of neural networks
    There is so much more to learn than this. If you want to learn more, you should read the Numenta deep learning tutorials. Source: over 1 year ago
  • [D] Google Research: Introducing Pathways, a next-generation AI architecture
    If you want to know how that kind of architecture works, you should take a look at Numenta and their newest paper. They working exactly on that problem how to enhance current Machine Learning (ANN) to become more generalized, efficient and able to learn multiple tasks. Link to newest paper: Https://www.biorxiv.org/content/10.1101/2021.10.25.465651v1 Link to Numenta website: Https://numenta.com/. Source: over 2 years ago

What are some alternatives?

When comparing htm.java and Numenta, 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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