hopfield | opencv | |
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- | 1 | |
28 | 152 | |
- | 0.0% | |
0.0 | 0.0 | |
over 2 years ago | 7 months ago | |
Makefile | Haskell | |
MIT License | BSD 3-clause "New" or "Revised" License |
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hopfield
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Tracking mentions began in Dec 2020.
opencv
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Will I suffer attempting to use Haskell in a company that mainly uses c++
Learn inline-c and inline-c-cpp really well. You will feel enabled if you can call the power of C++ from Haskell. You can find some examples in the opencv package.
What are some alternatives?
hnn - haskell neural network library
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
GA - Haskell module for working with genetic algorithms
HSGEP - Haskell Gene Expression Programming 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.
creatur - Framework for artificial life and other evolutionary algorithms.
hip - Haskell Image Processing Library
Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.
csp - Constraint satisfaction problem (CSP) solvers for Haskell
heukarya - genetic programming in haskell
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.