fnn VS cellular-automata-pytorch

Compare fnn vs cellular-automata-pytorch and see what are their differences.

fnn

Embed strange attractors using a regularizer for autoencoders (by williamgilpin)

cellular-automata-pytorch

A reproduction and tweaking of Growing Neural Cellular Automata (by belkakari)
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fnn cellular-automata-pytorch
1 1
118 17
- -
1.8 10.0
almost 3 years ago about 4 years ago
Jupyter Notebook Python
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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.

fnn

Posts with mentions or reviews of fnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-11.

cellular-automata-pytorch

Posts with mentions or reviews of cellular-automata-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-11.

What are some alternatives?

When comparing fnn and cellular-automata-pytorch you can also consider the following projects:

tsfresh - Automatic extraction of relevant features from time series:

neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.

dspytai - EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.

pycaret - An open-source, low-code machine learning library in Python