reading

• An organized list of essays / papers / etc can be found here

videos

• Alt-AI conference by School For Poetic Computation
• Opendot Fablab “Machine Learning” Playlist

creative work / research:

• altAI conference
  
• openAI
  
• wavenet
  
• creativeAI
  
• google magenta
  
• research.fb.com
  
• fast forward labs
  
• openAI gym (for testing out reinforcement learning algorithms)

tools / libraries / packages:

• deep learning docker container (more info here)
  
• tensorflow
  
• torch
  
• theano
  
• darknet
• scikit-learn
  
• deeplearning4j
  
• keras
  
• keras.js
  
• weka
  
• wekinator
  
• moa
  
• neon
• RiTa (computational literature)
• tracery (javascript text generator)

cloud platforms / API’s:

some of these are paid services where you need to create an account. for these paid services, there is often a free tier / pay-per-use option, which works fine for a test environment. if you want to deploy to a public site, some budgeting may be required.

• google machine learning
  • storage / computing / workflow
  • job search API
  • video analysis
  • image analysis
  • speech recognition
  • text analysis
  • translation
• aws AI (amazon)
  • Rekognition (image recognition)
  • Lex (for building chatbots)
  • Polly (text to speech)
  • amazon machine learning
• digital ocean
• bigML
• floydhub
• orange
• pachyderm
• nanonets.ai (API for using pretrained models)
• IBM Watson
  • translation
  • “conversation” (for building chatbots)
  • natural language processing
  • transcription
  • image recognition
  • search / content analysis
  • tone analysis
  • “personality insights”
• API.ai
  • free chatbot API
• perspective
  • evaluates “toxicity” of text
• metamind
• superscript
  • node.js-based chat agent
• clarifai (visual recognition API)
• lyrebird (speech style transfer)

projects:

• pix2pix
• openface
  
• convnet.js
  
• recurrent.js
  
• torch-rnn
  
• tensorflow-wavenet
  
• interactive-abstract-pattern-generation-js
  
• videogan
  
• tensorflow/models/tree/master/syntaxnet
  
• audio-texture-synthesis-and-style-transfer
  
• neural-doodle
  
• brain.js
  
• RNN-artist
  
• StackGAN
  
• dcgan
  
• fairML
  
• merlin speech synthesis
  
• people.eecs.berkeley.edu/~junyanz
  
• RNN piano music
• emotion-enforcing text editor
• machine intelligence and the environment
• terrapattern
• picbreeder
• morphing faces
• @zero_likes
• vid2speech
• AIY (raspberry pi-based AI kit from google)

datasets:

• MNIST
• imageNet
• COCO
  
• caltech 101 (categorized images)
• homepages.inf.ed.ac.uk/jyamagis
  
• CIFAR
  
• statmt.org/europarl
  
• kaggle.com/datasets
  
• cstr.ed.ac.uk/downloads/
  
• 100-best-free-data-sources
  
• List of Interesting Very Large Datasets of Images
• lists of text corpora
  • wikipedia
  • corpus.byu.edu
• new york area transit data in realtime
• los angeles’ “open data” portal
• kanji vector graphics
• TU Berlin sketch database (vector graphics or bitmap)
• small text copora
• drug experiences
• cityscapes

pre-trained models:

• caffe model zoo
• VGG very deep convnet models

courses and other online resources

• daniel shiffman’s “intelligence and learning” course
• matteo pasquinelli has been teaching a few ML-specific critical theory / philosophy courses
• ml4a.github.io
• Francis Tseng’s Machine Learning 101
• kadenze.com/courses/machine-learning-for-musicians-and-artists
• Matteo Pasquinelli: “The Abnormal Mind in the Age Machinic Intelligence”
• cs229.stanford.edu
• itp.nyu.edu/varwiki/Syllabus/LearningBitbyBitS10
• coursera.org/learn/machine-learning
• stanford.edu/class/cs224n
• patrickhebron.com/learning-machines
• kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow
• udacity.com/course/intro-to-machine-learning–ud120
• udacity.com/course/deep-learning–ud730
• web.cs.ucla.edu/~sriram/courses/cs188
• ciml.info
• Courses/UCLA/Stat_231
• machine-learning-is-fun
• Emulating Intelligence
• deep-learning
  
• tensorflow-github-projects
  
• machine-learning
  
• Machine-Learning-Tutorials
  
• kaggle.com/
  
• kdnuggets.com/
• wild AI
  • especially this glossary of deep learning terms
• chatbot’s life (all about making chatbots)