mltool VS softfloat-hs

Compare mltool vs softfloat-hs and see what are their differences.

mltool

Machine Learning Toolbox (by aligusnet)

softfloat-hs

Haskell FFI bindings for SoftFloat. (by GaloisInc)
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mltool softfloat-hs
1 -
35 3
- -
0.0 0.0
almost 6 years ago over 1 year ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License 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.

mltool

Posts with mentions or reviews of mltool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

softfloat-hs

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

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

What are some alternatives?

When comparing mltool and softfloat-hs you can also consider the following projects:

som - Self-Organising Map implementation in Haskell

bed-and-breakfast - Matrix operations in 100% pure Haskell

type-natural - Type-level well-kinded natural numbers.

linear - Low-dimensional linear algebra primitives for Haskell.

Lattices - A package for Lattices in Haskell. With a very basic LLL (Lenstra-Lenstra-Lovász) lattice reduction algorithm

hblas - haskell bindings for blas and lapack

bayes-stack - Framework for Gibbs sampling of probabilistic models

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.

units - The home of the units Haskell package

algebra - constructive abstract algebra

Xorshift128Plus - Pure haskell implementation of xorshift128plus random number generator

vector-space - Vector & affine spaces, linear maps, and derivatives