|9 days ago||15 days ago|
|Apache License 2.0||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.
[P] Gorse: An open-source recommender system service
2 projects | reddit.com/r/MachineLearning | 13 Mar 2022
2 projects | dev.to | 19 Nov 2022
And that’s it! All the magic in just two lines of code. I would like to thank the authors of the m2cgen library and encourage you to try it out.
Is data science/engineering in Rust practical, does it provide any benefit over Python, and what are the best crates?
3 projects | reddit.com/r/rust | 9 Nov 2022
Probably, as many frameworks come with a Rust support (or there are wrappers). Some models, like decision tree, can also be automatically translated to plain Rust (in my company we use m2cgen to translate xgboost models to plain rust code).
What are some alternatives?
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Synapses - A group of neural-network libraries for functional and mainstream languages
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
sklearn - bits of sklearn ported to Go #golang
R Provider - Access R packages from F#
fonet - fonet is a deep neural network package for Go.
go-fann - Go bindings for FANN, library for artificial neural networks
goRecommend - Collaborative Filtering (CF) Algorithms in Go!
randomforest - Random Forest implementation in golang