sklearn
m2cgen
Our great sponsors
| sklearn | m2cgen | |
|---|---|---|
| 0 | 1 | |
| 307 | 2,121 | |
| - | 0.8% | |
| 0.0 | 7.9 | |
| almost 2 years ago | 5 days ago | |
| Go | Python | |
| MIT License | MIT License |
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.
sklearn
We haven't tracked posts mentioning sklearn yet.
Tracking mentions began in Dec 2020.
m2cgen
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Flutter Machine Learning App
These repositories on GitHub are good start I think: https://github.com/BayesWitnesses/m2cgen and https://github.com/vickylance/dart_nn
What are some alternatives?
GoLearn - Machine Learning for Go
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
libsvm - libsvm go version
gorse - An open source recommender system service written in Go
randomforest - Random Forest implementation in golang
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
fonet - fonet is a deep neural network package for Go.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
R Provider - Access R packages from F#
Synapses - A group of neural-network libraries for functional and mainstream languages
go-fann - Go bindings for FANN, library for artificial neural networks
goRecommend - Collaborative Filtering (CF) Algorithms in Go!