CV VS hnn

What are some alternatives?

grenade - Deep Learning in Haskell

hopfield - hopfield

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.

opencv - Haskell binding to OpenCV-3.x

tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.

HaVSA - HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau.

HSGEP - Haskell Gene Expression Programming Library

heukarya - genetic programming in haskell

neet - Neuroevolution of Augmented Topologies (NEAT) -- in Haskell

cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend

GA - Haskell module for working with genetic algorithms

svm-simple - Simplified interface to bindings-svm