pyphi
A toolbox for integrated information theory. (by wmayner)
NeuroTS
Topological Neuron Synthesis (by BlueBrain)
| pyphi | NeuroTS | |
|---|---|---|
| 1 | 1 | |
| 356 | 35 | |
| - | - | |
| 7.5 | 6.8 | |
| about 2 months ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
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.
pyphi
Posts with mentions or reviews of pyphi.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Is Conway's Game of Life Conscious According to Integrated Information Theory?
it's not very hard to build a model (and the corresponding transition probability matrix) for a GoL network. and the version 4.0 formalism code is online for anyone to use (https://github.com/wmayner/pyphi). so you could try to answer the question for yourself (though it gets computationally prohibitive for networks bigger than 10 units or so, so...)
NeuroTS
Posts with mentions or reviews of NeuroTS.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing pyphi and NeuroTS you can also consider the following projects:
dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
momepy - Urban Morphology Measuring Toolkit
UniqueBible - A cross-platform bible application, integrated with high-quality resources and amazing features, running offline in Windows, macOS and Linux, ChromeOS, Android, iOS. Various running modes are supported.