reservoir VS deeplearning-hs

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

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reservoir deeplearning-hs
- -
0 53
- -
0.0 0.0
almost 6 years ago over 8 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" 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.

reservoir

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

We haven't tracked posts mentioning reservoir 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 reservoir and deeplearning-hs you can also consider the following projects:

linear - Low-dimensional linear algebra primitives for Haskell.

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

manifold-random - Coordinate-free hypersurfaces as Haskell types

intervals - Interval Arithmetic

cplex-hs - Haskell bindings for CPLEX

statistics - A fast, high quality library for computing with statistics in Haskell.

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

semigroups - Haskell 98 semigroups

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

hgeometry - HGeometry is a library for computing with geometric objects in Haskell. It defines basic geometric types and primitives, and it implements some geometric data structures and algorithms. The main two focusses are: (1) Strong type safety, and (2) implementations of geometric algorithms and data structures that have good asymptotic running time guarantees.

roots - 1-dimensional root-finding algorithms in Haskell