# Machine learning • Computer Vision • Ai
ml4a
Machine learning for artists.
[http://ml4a.github.io/](http://ml4a.github.io/)
# Keras.js
Run Keras models (tensorflow backend) in the browser, with GPU support.
[https://transcranial.github.io/keras-js/](https://transcranial.github.io/keras-js/)
# Tesseract.js
Pure Javascript Multilingual OCR.
[http://tesseract.projectnaptha.com/](http://tesseract.projectnaptha.com/)
# Google ML
Cloud machine learning by Google.
[https://cloud.google.com/ml/](https://cloud.google.com/ml/)
# TensorFlow
Open source software library for machine intelligence.
[https://www.tensorflow.org/](https://www.tensorflow.org/)
# ConvNetJS
Deep Learning in your browser.
[http://cs.stanford.edu/people/karpathy/convnetjs/started.html](http://cs.stanford.edu/people/karpathy/convnetjs/started.html)
# Wekinator
Allows anyone to use machine learning.
[http://www.wekinator.org/](http://www.wekinator.org/)
# Machine Learning
Coding Train repo with links to machine learning resources.
[https://github.com/CodingTrain/Machine-Learning](https://github.com/CodingTrain/Machine-Learning)
# CreativeAI
Space to share creative Ai projects.
[http://www.creativeai.net/](http://www.creativeai.net/)
# AI Playbook
Ai microsite intended to help newcomers get started.
[http://aiplaybook.a16z.com/](http://aiplaybook.a16z.com/)