# 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/)