tensorflow VS genetics

Compare tensorflow vs genetics and see what are their differences.

tensorflow

Haskell bindings for TensorFlow (by tensorflow)

genetics

A Genetic Algorithm library in Haskell (by mcandre)
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tensorflow genetics
0 0
1,469 21
1.4% -
0.0 0.0
over 1 year ago over 3 years ago
Haskell Haskell
LicenseRef-Apache BSD 3-clause "New" or "Revised" 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.

tensorflow

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

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

genetics

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

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

What are some alternatives?

When comparing tensorflow and genetics you can also consider the following projects:

rc - Reservoir Computing, an RNN flavor

HLearn-algebra - Homomorphic machine learning

haskell-ml - Various examples of machine learning, in Haskell.

neural - Neural Nets in native Haskell

fastbayes - A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).

order-statistics - L-estimators and order statistics

htvm - Haskell experiments involving TVM AI framework

multilinear-io - Input/output capability in various formats (binary, CSV, JSON) for Multilinear package in Haskell.