hnn
svm-simple
Our great sponsors
| hnn | svm-simple | |
|---|---|---|
| - | - | |
| 112 | 6 | |
| - | - | |
| 0.0 | 0.0 | |
| about 7 years ago | over 7 years ago | |
| Haskell | Haskell | |
| 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.
hnn
We haven't tracked posts mentioning hnn yet.
Tracking mentions began in Dec 2020.
svm-simple
We haven't tracked posts mentioning svm-simple yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
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tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
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.
cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend
svm - A support vector machine implemented in Haskell.
neural-network-base - Neural network framework in Haskell
neet - Neuroevolution of Augmented Topologies (NEAT) -- in Haskell