xlsx generation with charts, images, automated column width, customizable styles and full schema validation. Axlsx excels at helping you generate beautiful Office Open XML Spreadsheet documents without having to understand the entire ECMA specification. Check out the README for some examples of how easy it is. Best of all, you can validate your xlsx file before serialization so you know for sure that anything generated is going to load on your client's machine.
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xlsx generation with charts, images, automated column width, customizable styles and full schema validation. Axlsx excels at helping you generate beautiful Office Open XML Spreadsheet documents without having to understand the entire ECMA specification. Check out the README for some examples of how easy it is. Best of all, you can validate your xlsx file before serialization so you know for sure that anything generated is going to load on your client's machine.
- ruby
- ruby-gem
- excel-export
- excelwriter
Generate strings that match a given regular expression
- ruby
- regexp
- mri
- data-generation
:books: Fundamental programming with ruby examples and references. It covers threads, SOLID principles, design patterns, data structures, algorithms. Books for reading. Repo for website https://github.com/khusnetdinov/betterdocs
- ruby
- sorting-algorithms
- thread
- search-algorithm
examples from "Thoughtful Machine Learning"
- rubyml
Run Appium test on OpenSTF Device
AWS OpsWorks cookbooks used with the sample applications
Example of reinforcement learning using q-learning to teach an AI to play a game in Rub
- ruby
- rubyml
- ai
- q-learning
Simple Genetic Algorithm for demonstration purposes
- genetic-algorithm
- evolutionary-algorithms
- evolutionary-algorithm
- evolutionary-computation
Example of creating and using a Neural Network in Ruby
- rubyml
Example of implementing Support Vector Machine (SVM) with RBF (Gaussian) kernel in Ruby using rb-libsvm. .
- rubyml
- ruby
- svm
- svm-classifier
An example of implementing linear regression in Ruby.
- rubyml
No description provided by the repository host.
- rubyml
- ml
- unsupervised-learning
- kmeans-clustering