hnn
opencv
| hnn | opencv | |
|---|---|---|
| - | 1 | |
| 112 | 154 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 7 years ago | 11 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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hnn
We haven't tracked posts mentioning hnn yet.
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?
hopfield - hopfield
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
HaVSA - HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau.
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.
heukarya - genetic programming in haskell
hip - Haskell Image Processing Library
cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend
csp - Constraint satisfaction problem (CSP) solvers for Haskell
svm-simple - Simplified interface to bindings-svm
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
neural-network-base - Neural network framework in Haskell