# Machine-Learning-1

**Repository Path**: bit2atom/Machine-Learning-1

## Basic Information

- **Project Name**: Machine-Learning-1
- **Description**: Examples and experiments around ML for upcoming Coding Train videos
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-29
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

[![Dreams in the CodingTrain](https://raw.githubusercontent.com/CodingTrain/Machine-Learning/master/codingdream.jpg)](http://thecodingtrain.com/)

# 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)
- [Books](#books)
- [Courses](#courses)
- [Examples](#examples)
- [Projects](#projects)
- [Videos](#videos)
- [Resources](#resources)
- [Tools](#tools)
    - [Tensorflow](#tensorflow)
    - [t-SNE](#t-sne)

<!-- /MarkdownTOC -->
## Articles & Posts
  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:

## Books
  1. [Machine Learning for Designers](http://www.oreilly.com/design/free/machine-learning-for-designers.csp) by [Patrick Hebron](http://www.patrickhebron.com/), [Accompanying Webcast: Machine learning and the future of design](http://www.oreilly.com/pub/e/3709)

## Courses
  1. [The Neural Aesthetic @ SchoolOfMa, Summer 2016](http://ml4a.github.io/classes/neural-aesthetic/) :rainbow: :bowtie:
  1. [Machine Learning for Musicians and Artists, Kadenze](https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists-i)[Scheduled course] :rainbow: :bowtie:
  1. [Creative Applications of Deep Learning with TensorFlow, Kadenze](https://www.kadenze.com/programs/creative-applications-of-deep-learning-with-tensorflow)[Whole Program] :rainbow: :sweat_smile:
  1. [Coursera - Machine Learning](https://www.coursera.org/learn/machine-learning) :bowtie:
  1. [Coursera - Neural Networks](https://www.coursera.org/learn/neural-networks) :sweat_smile:
  1. [Practical Deep Learning for Coders](http://www.fast.ai/2017/02/24/captions-and-notes/) :bowtie:

## Examples
  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 various ML algorithms](https://kwichmann.github.io/ml_sandbox/) :rainbow: :bowtie:
  1. [Image-to-Image - from lines to cats](http://affinelayer.com/pixsrv/) :rainbow:
  2. [Recurrent Neural Network Tutorial for Artists](http://blog.otoro.net/2017/01/01/recurrent-neural-network-artist/) :rainbow:
  1. [Browser Self-Driving Car](http://janhuenermann.com/projects/learning-to-drive),[Learning to Drive Blog Post](http://lab.janhuenermann.de/article/learning-to-drive)

## Projects
  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) :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) :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:

## Resources
  1. [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)

## Tools
  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:
  1. [Neuro.js](https://github.com/janhuenermann/neurojs)

### TensorFlow
  1. [Projector](http://projector.tensorflow.org/) :sweat_smile:
  1. [Magenta](https://github.com/tensorflow/magenta) :rainbow:
  1. [TensorFlow and Flask](https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-and-serve-it-with-a-python-api-d4f3596b3adc#.96tvigb98_), Thanks to @Hebali [basic pipeline, minus TensorFlow plus a very basic placeholder function](
http://www.patrickhebron.com/learning-machines/week8.html)
  1. [Awesome Tensorflow - curated list of TensorFlow tutorials](https://github.com/jtoy/awesome-tensorflow)

### 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/) :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) :rainbow: