fei-base
HSGEP
Our great sponsors
| fei-base | HSGEP | |
|---|---|---|
| - | - | |
| 3 | 10 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 6 years ago | |
| Haskell | Mathematica | |
| BSD 3-clause "New" or "Revised" License | 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.
fei-base
We haven't tracked posts mentioning fei-base 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?
nn - A tiny neural network ðŸ§
creatur - Framework for artificial life and other evolutionary algorithms.
fei-nn - High level APIs for leaveraging neural networks with MXNet in Haskell
hopfield - hopfield
fei-examples
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
fei-cocoapi
genprog - Genetic programming library
fei-dataiter - Data Loading API of mxnet in Haskell
grenade - Deep Learning in Haskell
Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.
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.