Incoming Links are welcome :)
January 31, 2020 ยท View on GitHub
Please add a link to the bottom of this file. Try to do that in the following form:
- [name](link) - optional awesomness statement.
- Machine Learning: Current Status and Future
- http://www.rubylab.io/2015/03/18/simple-neural-network-implenentation-in-ruby/
- http://leopard.in.ua/presentations/ml_ruby_2017/
- https://medium.com/@ryanflach/basic-machine-learning-in-ruby-9cce4a67b40b
- https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-cheat-sheet
- https://github.com/febeling/rb-libsvm
- https://github.com/tomz/libsvm-ruby-swig/tree/master
- https://github.com/andreaseger/jrb-libsvm
- http://www.csie.ntu.edu.tw/~cjlin/libsvm/
- https://www.amazon.de/Programming-Collective-Intelligence-Building-Applications/dp/0596529325/ref=sr_1_1?ie=UTF8&qid=1493746433&sr=8-1&keywords=collective+intelligence
- https://github.com/alexandru/stuff-classifier
- https://www.youtube.com/watch?v=cO26TjhQWvA
- https://www.slideshare.net/igrigorik/intelligent-ruby-machine-learning
- https://github.com/aws/aws-sdk-ruby
- http://slides.com/arnab_deka/ml-with-ruby#/
- https://medium.com/@ryanflach/basic-machine-learning-in-ruby-9cce4a67b40b
- http://www.rubylab.io/2015/04/28/denoising-autoencoder-tutorial/
- Predictor - Fast and efficient recommendations and predictions using Redis.
- http://abinoam.tl1n.com/400x-faster-matrix-multiplication-for-ruby/
- https://github.com/mstuefer/data_mining
- https://github.com/arrigonialberto86/ruby-band
data-modeler- Train models based on your data using Machine Learning (work in progress)- https://github.com/ConsultingMD/factree
- http://davidkariuki.com/blog/2014/05/25/k-means-clustering-with-ruby
- https://github.com/Tcom242242/t_learn
- https://github.com/piroor/tiny-classifier
- https://github.com/josephwilk/tlearn-rb
- https://github.com/xuanxu/nimbus
- https://github.com/yoshoku/LibSVMLoader
- https://github.com/IBM-ATAT/ibm-ml-ruby
- https://medium.com/@oem_83498/linear-regression-in-ruby-a170f9a892e5
- https://github.com/cardmagic/classifier
- fast_forward - Fast predictions with neural networks in Ruby
- https://github.com/ankane/tensorflow
- https://github.com/ankane/libmf
- https://github.com/ankane/ngt
- https://github.com/ankane/xlearn
- https://github.com/ankane/scs
- https://github.com/ankane/osqp
- https://github.com/ankane/fasttext
- https://github.com/ankane/npy
- https://github.com/ankane/onnxruntime
- https://github.com/ankane/vowpalwabbit
- https://github.com/ankane/thundersvm
- https://github.com/ankane/gslr
- https://github.com/ankane/disco
- https://github.com/ankane/libmf