Matthew Kirk twitter.com

[video]

Marcel Caraciolo twitter.com

[slides]

@kojix twitter.com

[post]

Joseph Wilk twitter.com

[post]

Jordan Hudgens twitter.com

[tutorial]

John Paul Ashenfelter twitter.com

[video]

X Ruby AI group twitter.com

Matthew Mongeau twitter.com

[video | slides]

Denis Sellu twitter.com

[post]

Brian Sam-Bodden twitter.com

[video]

Justin Bowen twitter.com

[video]

NonWebRuby twitter.com

Stack Overflow stackoverflow.com

SciRuby Slack sciruby.slack.com

RubyThursday rubythursday.com

[video]

Mastodon Ruby AI and Data group ruby.social

Reddit reddit.com

Using the Python scikit-learn machine learning library in Ruby using PyCall practicalai.io

[code]

Unsupervised learning using k-means clustering in Ruby practicalai.io

[code]

Teaching an AI to play a simple game using Q-Learning in Ruby practicalai.io

[code]

Teaching a Neural Network to play a game using Q-Learning in Ruby practicalai.io

[code]

How to implement simple binary classification using a Neural Network in Ruby practicalai.io

[code]

How to implement linear regression in Ruby practicalai.io

[code]

How to implement classification using logistic regression in Ruby practicalai.io

How to implement classification using a SVM in Ruby practicalai.io

[code]

Practical Artificial Intelligence practicalai.io

Blog about Artificial Intelligence and Machine Learning with tutorials and code samples in Ruby.

Joseph Emmanuel Dayo linkedin.com

[post]

Ruby neural networks honeybadger.io

Red Data Gitter gitter.im

machine_learning_workbench github.com

Framework including pure-Ruby implementations of Natural Evolution Strategy algorithms (black-box optimization), specifically Exponential NES (XNES), Separable NES (sNES), Block-Diagonal NES (BDNES) and more. Applications include neural network search/training (neuroevolution).

machine_learning_workbench github.com

Framework including pure-Ruby implementation of both feed-forward and recurrent neural networks (fully connected). Training available using neuroevolution (Natural Evolution Strategies algorithms).

How to evolve neural networks in Ruby using the Machine Learning Workbench github.com

Ruby AI Builders Discord discord.gg

Download s3.amazonaws.com

| Demo | Reference

MXNet Model Zoo mxnet.incubator.apache.org

Collection of MXNet models.

Netron lutzroeder.github.io

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

TensorFlow Slim Models github.com

Another collection of TensorFlow Models.

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference

See the guide github.com

Download github.com

| Demo | Reference

Download github.com

| Demo | Reference