examples from "Thoughtful Machine Learning"
- rubyml
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examples from "Thoughtful Machine Learning"
A neural network, written in Ruby
A set of neuroevolution experiments with/towards deep networks
Run your AppVeyor builds, locally
High performance gradient boosting for Ruby
Tmux theme integration for Omarchy using powerkit. Automatic sync.
k-means clustering in Ruby
High performance gradient boosting for Ruby
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Ruby Scoring API for PMML
Machine Learning & Data Mining with JRuby
Ruby wrapper for the Qdrant vector search database API
Ruby wrapper for the Weaviate vector search database API
Generate Javadoc from your maven/gradle project and deploy it with GitHub Page.
Instruct LLMs to do what you want in Ruby
Ruby Mixture with other Programming Languages
Example of reinforcement learning using q-learning to teach an AI to play a game in Rub
Ruby wrapper for the Milvus vector search database API
Automating Ansible role documentation (using argument_specs.yml)
A YAML encoder for Elixir.
Swarm Management is a python application, installed with pip. The application makes it easy to manage a Docker Swarm by configuring a single *.yml file describing which stacks to deploy, and which networks, configs or secrets to create.
Workbench for practical machine learning in Ruby.
Simple Genetic Algorithm for demonstration purposes
Example of creating and using a Neural Network in Ruby