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shiffman merged 5 commits into from
Feb 19, 2017
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Added a few links and added (subjective) skill level requirements #4

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Add some links on RNNs
cmanny Feb 18, 2017
80f0a5e
Update readme with some resource attributes
cmanny Feb 19, 2017
3824006
Add machine learning is fun link
cmanny Feb 19, 2017
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Actually add the link
cmanny Feb 19, 2017
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Merge branch 'master' into readme/rnns
cmanny Feb 19, 2017
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72 changes: 43 additions & 29 deletions README.md
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# Machine-Learning
Examples and experiments around ML for upcoming Coding Train videos and ITP course.

# Resource attributes

Since resources across the internet vary in terms of their pre-requisites and general accessibility, it is useful to
give attributes to them so that it is easy to understand where a resource fits into the wider machine learning scope. Below is a few suggested attributes (please extend):

- :rainbow: = creative
- :bowtie: = beginner
- :sweat_smile: = intermediate, some pre-requisites
- :godmode: = advanced, many pre-requisites

# Table of Contents
<!-- MarkdownTOC depth=4 -->
- [Articles & Posts](#articles--posts)
Expand All @@ -14,53 +24,57 @@ Examples and experiments around ML for upcoming Coding Train videos and ITP cour

<!-- /MarkdownTOC -->
## Articles & Posts
1. [A Return to Machine Learning](https://medium.com/@kcimc/a-return-to-machine-learning-2de3728558eb#.vlqnbo9yg)
1. [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/)
1. [Deep Reinforcement Learning: Pong from Pixels](http://karpathy.github.io/2016/05/31/rl/)
1. [Inside Libratus, the Poker AI That Out-Bluffed the Best Humans](https://www.wired.com/2017/02/libratus/?imm_mid=0ed017&cmp=em-data-na-na-newsltr_ai_20170206)
1. [Machine Learning in Javascript: Introduction](http://burakkanber.com/blog/machine-learning-in-other-languages-introduction/)
1. [Realtime control of sequence generation with character based Long Short Term Memory Recurrent Neural Networks](http://www.iggi.org.uk/assets/IGGI-2016-Memo-A.pdf)
1. [Why is machine learning 'hard'?](http://ai.stanford.edu/~zayd/why-is-machine-learning-hard.html)
1. [A Return to Machine Learning](https://medium.com/@kcimc/a-return-to-machine-learning-2de3728558eb#.vlqnbo9yg) :rainbow: :bowtie:
1. [A Visual Introduction to Machine Learning](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/) :rainbow: :bowtie:
1. [Machine Learning is Fun!](https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471) :bowtie:
1. [Deep Reinforcement Learning: Pong from Pixels](http://karpathy.github.io/2016/05/31/rl/) :rainbow:
1. [Inside Libratus, the Poker AI That Out-Bluffed the Best Humans](https://www.wired.com/2017/02/libratus/? imm_mid=0ed017&cmp=em-data-na-na-newsltr_ai_20170206) :bowtie:
1. [Machine Learning in Javascript: Introduction](http://burakkanber.com/blog/machine-learning-in-other-languages-introduction/) :bowtie:
1. [Realtime control of sequence generation with character based Long Short Term Memory Recurrent Neural Networks](http://www.iggi.org.uk/assets/IGGI-2016-Memo-A.pdf) :sweat_smile:
1. [Why is machine learning 'hard'?](http://ai.stanford.edu/~zayd/why-is-machine-learning-hard.html) :bowtie:
1. [Unreasonable effectiveness of RNNs](http://karpathy.github.io/2015/05/21/rnn-effectiveness/) :sweat_smile:

## Courses
1. [The Neural Aesthetic @ SchoolOfMa, Summer 2016](http://ml4a.github.io/classes/neural-aesthetic/)
1. [The Neural Aesthetic @ SchoolOfMa, Summer 2016](http://ml4a.github.io/classes/neural-aesthetic/) :rainbow: :bowtie:

## Examples
1. [A Deep Q Reinforcement Learning Demo](http://projects.rajivshah.com/rldemo/)
1. [How to use Q Learning in Video Games Easily](https://github.com/llSourcell/q_learning_demo)
1. [K-nearest](https://twitter.com/MaximilianLloyd/status/814942799351185408)
1. [The Infinite Drum Machine](https://aiexperiments.withgoogle.com/drum-machine/view/)
1. [Visualizing the perceptron training algorithm](https://kwichmann.github.io/ml_sandbox/perceptron/)
1. [A Deep Q Reinforcement Learning Demo](http://projects.rajivshah.com/rldemo/) :bowtie:
1. [How to use Q Learning in Video Games Easily](https://github.com/llSourcell/q_learning_demo) :rainbow: :bowtie:
1. [K-nearest](https://twitter.com/MaximilianLloyd/status/814942799351185408) :bowtie:
1. [The Infinite Drum Machine](https://aiexperiments.withgoogle.com/drum-machine/view/) :rainbow: :bowtie:
1. [Visualizing the perceptron training algorithm](https://kwichmann.github.io/ml_sandbox/perceptron/) :rainbow: :bowtie:

## Projects
1. [Bidirectional LSTM for IMDB sentiment classification](https://transcranial.github.io/keras-js/#/imdb-bidirectional-lstm)
1. [Land Lines](https://medium.com/@zachlieberman/land-lines-e1f88c745847#.1157xmhw8)
1. [nnvis - Topological Visualisation of a Convolutional Neural Network](http://terencebroad.com/convnetvis/vis.html)
1. [Bidirectional LSTM for IMDB sentiment classification](https://transcranial.github.io/keras-js/#/imdb-bidirectional-lstm) :sweat_smile:
1. [Land Lines](https://medium.com/@zachlieberman/land-lines-e1f88c745847#.1157xmhw8)
1. [nnvis - Topological Visualisation of a Convolutional Neural Network](http://terencebroad.com/convnetvis/vis.html) :rainbow: :bowtie:
1. [char-rnn A character level language model (a fancy text generator)](https://github.com/karpathy/char-rnn) :rainbow: :sweat_smile:


## Videos
* Reinforcement Learning
1. [Artificial Intelligence in Google's Dinosaur (English Sub)](https://www.youtube.com/watch?v=P7XHzqZjXQs)
1. [How to use Q Learning in Video Games Easily](https://www.youtube.com/watch?v=A5eihauRQvo&feature=youtu.be)
1. [Artificial Intelligence in Google's Dinosaur (English Sub)](https://www.youtube.com/watch?v=P7XHzqZjXQs) :bowtie:
1. [How to use Q Learning in Video Games Easily](https://www.youtube.com/watch?v=A5eihauRQvo&feature=youtu.be) :bowtie:
* Evolutionary Algorithms
1. [Evolving Swimming Soft-Bodied Creatures](https://www.youtube.com/watch?v=4ZqdvYrZ3ro)
1. [Harnessing evolutionary creativity: evolving soft-bodied animats in simulated physical environments](https://www.youtube.com/watch?v=CXTZHHQ7ZiQ&feature=youtu.be)
1. [Reproduce image with genetic algorithm](https://www.youtube.com/watch?v=iV-hah6xs2A)
1. [Evolving Swimming Soft-Bodied Creatures](https://www.youtube.com/watch?v=4ZqdvYrZ3ro) :rainbow: :bowtie:
1. [Harnessing evolutionary creativity: evolving soft-bodied animats in simulated physical environments](https://www.youtube.com/watch?v=CXTZHHQ7ZiQ&feature=youtu.be) :rainbow: :bowtie:
1. [Reproduce image with genetic algorithm](https://www.youtube.com/watch?v=iV-hah6xs2A) :bowtie:

## Tools
1. [ConvNetJS - Javascript library for training Deep Learning models (Neural Networks) ](http://cs.stanford.edu/people/karpathy/convnetjs/)
1. [RecurrentJS - Deep Recurrent Neural Networks and LSTMs in Javascript](https://github.com/shiffman/recurrentjs)
1. [WORD2VEC](http://technobium.com/find-words-similarity-using-deeplearning4j-word2vec/)
1. [ConvNetJS - Javascript library for training Deep Learning models (Neural Networks) ](http://cs.stanford.edu/people/karpathy/convnetjs/) :sweat_smile:
1. [RecurrentJS - Deep Recurrent Neural Networks and LSTMs in Javascript](https://github.com/shiffman/recurrentjs) :sweat_smile:
1. [WORD2VEC](http://technobium.com/find-words-similarity-using-deeplearning4j-word2vec/) :sweat_smile:

### TensorFlow
1. [Projector](http://projector.tensorflow.org/)
1. [Magenta](https://github.com/tensorflow/magenta)
1. [Projector](http://projector.tensorflow.org/) :sweat_smile:
1. [Magenta](https://github.com/tensorflow/magenta) :rainbow:

### Tensorflow posts
1. [Big deep learning news: Google Tensorflow chooses Keras](http://www.fast.ai/2017/01/03/keras/)
1. [Simple end-to-end TensorFlow examples](http://bcomposes.com/2015/11/26/simple-end-to-end-tensorflow-examples/)

### t-SNE
1. [t-SNE](https://lvdmaaten.github.io/tsne/)
1. [t-SNE](https://scienceai.github.io/tsne-js/)
1. [t-SNE](https://lvdmaaten.github.io/tsne/) :sweat_smile:
1. [t-SNE](https://scienceai.github.io/tsne-js/) :sweat_smile:
1. [An illustrated introduction to the t-SNE algorithm](https://www.oreilly.com/learning/an-illustrated-introduction-to-the-t-sne-algorithm)
1. [Visualizing Data Using t-SNE](https://www.youtube.com/watch?v=RJVL80Gg3lA&list=UUtXKDgv1AVoG88PLl8nGXmw)
1. [Visualizing Data Using t-SNE](https://www.youtube.com/watch?v=RJVL80Gg3lA&list=UUtXKDgv1AVoG88PLl8nGXmw) :rainbow: