goNEAT VS tsdist

Compare goNEAT vs tsdist and see what are their differences.

goNEAT

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation (by yaricom)

tsdist

This is a port of the R package TSdist to python (by Data-Hero)
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goNEAT tsdist
1 1
73 2
- -
4.7 0.0
15 days ago about 2 years ago
Go Cython
MIT License 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.

goNEAT

Posts with mentions or reviews of goNEAT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.

tsdist

Posts with mentions or reviews of tsdist. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-27.

What are some alternatives?

When comparing goNEAT and tsdist you can also consider the following projects:

super-mario-neat - This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

pybind11 - Seamless operability between C++11 and Python