GA
Haskell module for working with genetic algorithms (by boegel)
grenade
Deep Learning in Haskell (by HuwCampbell)
| GA | grenade | |
|---|---|---|
| - | 5 | |
| 19 | 1,440 | |
| - | - | |
| 0.0 | 5.6 | |
| over 12 years ago | 5 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
GA
Posts with mentions or reviews of GA.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning GA yet.
Tracking mentions began in Dec 2020.
grenade
Posts with mentions or reviews of grenade.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-23.
-
Haskell deep learning tutorials [Blog]
Grenade is fun, but it does not support CUDA, so it will limit you. I would say that this was a great experiment that has influenced the Hasktorch library in different ways (let me know if I am wrong).
- Dhall: A Gateway Drug to Haskell
-
Haskell for Artificial Intelligence?
FWIW there's an interesting library called grenade which offers nice types for constructing neural nets. I haven't used it, and this is not my areas of expertise, but it looks cool!
-
Rank 3 Stencils for "Efficient Parallel Stencil Convolution in Haskell" (Repa)
When I wrote grenade I used the im2col trick to turn convolutions into a single matrix multiplication, which could then be done in hmatrix.
- What are some ways I could tickle my (beginner) haskell-brain with something *useful*?
What are some alternatives?
When comparing GA and grenade you can also consider the following projects:
hopfield - hopfield
hasktorch - Tensors and neural networks in Haskell
hnn - haskell neural network library
liblinear-enumerator - Haskell bindings to liblinear
smarties - haskell behavior tree library
simple-neural-networks - Simple parallel neural networks implementation in pure Haskell
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
CV - Haskell wrappers and utilities for OpenCV machine vision library
genprog - Genetic programming library
nn - A tiny neural network ðŸ§
csp - Constraint satisfaction problem (CSP) solvers for Haskell