CV
HSGEP
| CV | HSGEP | |
|---|---|---|
| - | - | |
| 51 | 10 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 8 years ago | over 6 years ago | |
| Haskell | Mathematica | |
| LicenseRef-GPL | BSD 3-clause "New" or "Revised" License |
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.
CV
We haven't tracked posts mentioning CV yet.
Tracking mentions began in Dec 2020.
HSGEP
We haven't tracked posts mentioning HSGEP yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
grenade - Deep Learning in Haskell
creatur - Framework for artificial life and other evolutionary algorithms.
moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.
genprog - Genetic programming library
hnn - haskell neural network library
hopfield - hopfield
neet - Neuroevolution of Augmented Topologies (NEAT) -- in Haskell
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
GA - Haskell module for working with genetic algorithms