massiv-io
opencv
| massiv-io | opencv | |
|---|---|---|
| - | 1 | |
| 13 | 152 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 2 years ago | 7 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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massiv-io
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Tracking mentions began in Dec 2020.
opencv
-
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?
text - Haskell library for space- and time-efficient operations over Unicode text.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
compendium-client - Mu (μ) is a purely functional framework for building micro services.
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.
hip - Haskell Image Processing Library
csp - Constraint satisfaction problem (CSP) solvers for Haskell
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
heukarya - genetic programming in haskell
GA - Haskell module for working with genetic algorithms
grenade - Deep Learning in Haskell
HSGEP - Haskell Gene Expression Programming Library