JuicyPixels-extra
opencv
Our great sponsors
| JuicyPixels-extra | opencv | |
|---|---|---|
| - | 1 | |
| 13 | 152 | |
| - | 0.0% | |
| 6.3 | 0.0 | |
| 4 months ago | 7 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JuicyPixels-extra
We haven't tracked posts mentioning JuicyPixels-extra 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?
JuicyPixels-blurhash - A Haskell implementation of a very compact representation of a placeholder for an image. https://blurha.sh
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
arrayfire - Haskell bindings to ArrayFire
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