HLearn-algebra
Homomorphic machine learning (by mikeizbicki)
HSvm
Haskell bindings of libsvm library (by paulrzcz)
HLearn-algebra | HSvm | |
---|---|---|
2 | 1 | |
1,619 | 4 | |
- | - | |
0.0 | 5.7 | |
almost 8 years ago | 4 months ago | |
Haskell | C++ | |
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.
HLearn-algebra
Posts with mentions or reviews of HLearn-algebra.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-28.
- looking for simple regression (or classification) library
-
Haskell for Artificial Intelligence?
GitHub - mikeizbicki/HLearn: Homomorphic machine learning
HSvm
Posts with mentions or reviews of HSvm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-28.
-
looking for simple regression (or classification) library
I've used https://github.com/paulrzcz/HSvm (libsvm) for some things – if all you need is svm-like classification and your data is of the easily predictable kind (so you don't have to experiment much with different models), that might be enough (just m <- SVM.train (SVM.NuSvc 0.25) (SVM.RBF 1) trainFeats; prediction <- SVM.predict m inputFeats, remember to scale numbers to 0..1).
What are some alternatives?
When comparing HLearn-algebra and HSvm you can also consider the following projects:
tensorflow - Haskell bindings for TensorFlow
mltool - Machine Learning Toolbox
fastbayes - A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).
rc - Reservoir Computing, an RNN flavor
haskell-ml - Various examples of machine learning, in Haskell.
neural - Neural Nets in native Haskell
multilinear-io - Input/output capability in various formats (binary, CSV, JSON) for Multilinear package in Haskell.
htvm - Haskell experiments involving TVM AI framework
genetics - A Genetic Algorithm library in Haskell
order-statistics - L-estimators and order statistics
multilinear - Efficient implementation of tensor-based AI engine for Haskell.
hasktorch - Tensors and neural networks in Haskell
HLearn-algebra vs tensorflow
HSvm vs mltool
HLearn-algebra vs fastbayes
HLearn-algebra vs rc
HLearn-algebra vs haskell-ml
HLearn-algebra vs neural
HLearn-algebra vs multilinear-io
HLearn-algebra vs htvm
HLearn-algebra vs genetics
HLearn-algebra vs order-statistics
HLearn-algebra vs multilinear
HLearn-algebra vs hasktorch