tensorflow VS neural

Compare tensorflow vs neural and see what are their differences.

tensorflow

Haskell bindings for TensorFlow (by tensorflow)

neural

Neural Nets in native Haskell (by brunjlar)
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tensorflow neural
0 0
1,469 118
1.4% -
0.0 0.0
over 1 year ago over 1 year ago
Haskell Haskell
LicenseRef-Apache 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.

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.

neural

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

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

What are some alternatives?

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

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

HLearn-algebra - Homomorphic machine learning

rc - Reservoir Computing, an RNN flavor

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

genetics - A Genetic Algorithm library in Haskell

order-statistics - L-estimators and order statistics

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

htvm - Haskell experiments involving TVM AI framework