NuPIC VS pdpipe

Compare NuPIC vs pdpipe and see what are their differences.

NuPIC

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex. (by numenta)
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NuPIC pdpipe
1 -
6,327 715
- 0.0%
0.0 0.0
8 months ago about 1 year ago
Python Jupyter Notebook
GNU Affero General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

NuPIC

Posts with mentions or reviews of NuPIC. We have used some of these posts to build our list of alternatives and similar projects.

pdpipe

Posts with mentions or reviews of pdpipe. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning pdpipe yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing NuPIC and pdpipe you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

scikit-learn - scikit-learn: machine learning in Python

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

gensim - Topic Modelling for Humans

Keras - Deep Learning for humans

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

danfojs - Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.