How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
An example of implementing linear regression in Ruby.
This example will show how to implement a simple neural network for classification in Ruby using ruby-fann.
This example will show how to implement a Support Vector Machine (SVM) with RBF (Gaussian) kernel in Ruby using rb-libsvm for classification.
A GitOps workflow example for multi-env deployments with Flux, Kustomize and Helm.
The main features of fluxcd/flux2-kustomize-helm-example are: Tutorials and Examples.
Projects with overlapping indexed features include: daugaard/example-kmeans-clustering. daugaard/example-linear-regression — An example of implementing linear regression in Ruby. daugaard/example-neural-network — This example will show how to implement a simple neural network for classification in Ruby using ruby-fann. daugaard/example-svm — This example will show how to implement a Support Vector Machine (SVM) with RBF (Gaussian) kernel in Ruby using… daugaard/q-learning-simple-game — This example will show how we can teach an AI to play a simple game using the Q-learning reinforcement learning… daugaard/scikit-learn-from-ruby — This sample code shows you how to use scikit-learn (or any other python library) from within your Ruby application…