tensorflow
Haskell bindings for TensorFlow (by tensorflow)
grenade
Deep Learning in Haskell (by HuwCampbell)
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| tensorflow | grenade | |
|---|---|---|
| 2 | 5 | |
| 1,563 | 1,438 | |
| 0.6% | - | |
| 2.4 | 5.6 | |
| 8 months ago | 4 months ago | |
| Haskell | Haskell | |
| LicenseRef-Apache | 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.
tensorflow
Posts with mentions or reviews of tensorflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-27.
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Is Haskell okay for prototyping machine learning models for research (discovery and exploration)
If you require JAX, you'll be out of luck using Haskell. But there is Hasktorch, http://hasktorch.org/, and Tensorflow bindings in Haskell, https://github.com/tensorflow/haskell. Both seem to be actively maintained.
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Haskell deep learning tutorials [Blog]
First I still have to admit that Haskell ML libraries have a large space for improvement. On the other hand, there exists bindings for Tensorflow. As can be seen from Github, they have recently added support for libtensorflow v2.3.0.
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 tensorflow and grenade you can also consider the following projects:
HLearn-algebra - Homomorphic machine learning
hasktorch - Tensors and neural networks in Haskell
haskell-ml - Various examples of machine learning, in Haskell.
liblinear-enumerator - Haskell bindings to liblinear
rc - Reservoir Computing, an RNN flavor
simple-neural-networks - Simple parallel neural networks implementation in pure Haskell
genetics - A Genetic Algorithm library in Haskell
CV - Haskell wrappers and utilities for OpenCV machine vision library
neural - Neural Nets in native Haskell
nn - A tiny neural network ðŸ§
htvm - Haskell experiments involving TVM AI framework
hnn - haskell neural network library