simple-genetic-algorithm-mr
neet
| simple-genetic-algorithm-mr | neet | |
|---|---|---|
| - | - | |
| 2 | 12 | |
| - | - | |
| 0.0 | 0.0 | |
| about 9 years ago | over 7 years ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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.
simple-genetic-algorithm-mr
We haven't tracked posts mentioning simple-genetic-algorithm-mr yet.
Tracking mentions began in Dec 2020.
neet
We haven't tracked posts mentioning neet yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
simple-genetic-algorithm - Simple parallel genetic algorithm implementation in pure Haskell
hnn - haskell neural network library
HSGEP - Haskell Gene Expression Programming Library
Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.
HOpenCV - Haskell bindings for OpenCV
simple-neural-networks - Simple parallel neural networks implementation in pure Haskell
CV - Haskell wrappers and utilities for OpenCV machine vision library
liblinear-enumerator - Haskell bindings to liblinear
HaVSA - HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau.
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
csp - Constraint satisfaction problem (CSP) solvers for Haskell