mixed-strategies VS deeplearning-hs

Compare mixed-strategies vs deeplearning-hs and see what are their differences.

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mixed-strategies deeplearning-hs
- -
2 53
- -
0.0 0.0
almost 9 years ago over 8 years ago
Haskell Haskell
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.

mixed-strategies

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

We haven't tracked posts mentioning mixed-strategies yet.
Tracking mentions began in Dec 2020.

deeplearning-hs

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

We haven't tracked posts mentioning deeplearning-hs yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing mixed-strategies and deeplearning-hs you can also consider the following projects:

simple-smt

numhask - A haskell numeric prelude, providing a clean structure for numbers and operations that combine them.

lambda-calculator - An introduction to the Lambda Calculus

manifold-random - Coordinate-free hypersurfaces as Haskell types

hblas - haskell bindings for blas and lapack

cplex-hs - Haskell bindings for CPLEX

HerbiePlugin - GHC plugin that improves Haskell code's numerical stability

linearEqSolver - Solve systems of linear equations, using SMT solvers.

hmatrix - Linear algebra and numerical computation

reservoir - Reservoir Sampling Algorithms in Haskell

math-programming-glpk - A GLPK backend to the Haskell math-programming library