htvm VS genetics

Compare htvm vs genetics and see what are their differences.

htvm

Haskell experiments involving TVM AI framework (by grwlf)

genetics

A Genetic Algorithm library in Haskell (by mcandre)
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htvm genetics
0 0
21 21
- -
0.0 0.0
about 3 years ago over 3 years ago
Haskell Haskell
GNU General Public License v3.0 only 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.

htvm

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

We haven't tracked posts mentioning htvm 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 htvm and genetics you can also consider the following projects:

HLearn-algebra - Homomorphic machine learning

neural - Neural Nets in native Haskell

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

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

rc - Reservoir Computing, an RNN flavor

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

order-statistics - L-estimators and order statistics

tensorflow - Haskell bindings for TensorFlow