pdpipe VS NuPIC

Compare pdpipe vs NuPIC 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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pdpipe NuPIC
- 1
715 6,327
0.0% -
0.0 0.0
about 1 year ago 8 months ago
Jupyter Notebook Python
MIT License GNU Affero General Public License v3.0 or later
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.

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.

NuPIC

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

What are some alternatives?

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

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

tensorflow - An Open Source Machine Learning Framework for Everyone

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

gensim - Topic Modelling for Humans

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

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

Keras - Deep Learning for humans

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.