haskell-ml
Various examples of machine learning, in Haskell. (by capn-freako)
grenade
Deep Learning in Haskell (by HuwCampbell)
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| haskell-ml | grenade | |
|---|---|---|
| 1 | 5 | |
| 19 | 1,438 | |
| - | - | |
| 1.8 | 5.6 | |
| about 2 years ago | 4 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.
haskell-ml
Posts with mentions or reviews of haskell-ml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-04.
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.
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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
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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!
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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 haskell-ml and grenade you can also consider the following projects:
tensorflow - Haskell bindings for TensorFlow
hasktorch - Tensors and neural networks in Haskell
HLearn-algebra - Homomorphic machine learning
liblinear-enumerator - Haskell bindings to liblinear
rc - Reservoir Computing, an RNN flavor
simple-neural-networks - Simple parallel neural networks implementation in pure Haskell
order-statistics - L-estimators and order statistics
CV - Haskell wrappers and utilities for OpenCV machine vision library
htvm - Haskell experiments involving TVM AI framework
nn - A tiny neural network ðŸ§
neural - Neural Nets in native Haskell
hnn - haskell neural network library