CV VS keera-posture

What are some alternatives?

grenade - Deep Learning in Haskell

hnn - haskell neural network library

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.

finito - A constraint solver for finite domains, written in Haskell.

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

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

Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.

HSGEP - Haskell Gene Expression Programming Library

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

hmep - Haskell Multi Expression Programming implemented with the focus on speed