/ML_in_Health_Club

We will include code scripts we will cover in NYUMC's Machine Learning in Health Journal Club

Primary LanguagePython

ML_in_Health_Club

Welcome to the repository for Machine Learning Packages/tools/models for healthcare. As we cover papers in the meetings, we will add relevant information to this page. We will reorganize this repository later. For now, welcome aboard!

#Reference for Tools and Packages:

  1. For Standard Machine Learning models (i.e. Custom optimization methods per model) Both for Supervised Learning/Unsupervised Learning Recommended Tool: SKLearn (http://scikit-learn.org/stable/) Requirements: Python (also numpy, scipy, matplotlib)

  2. For Deep Learning (i.e. Back-propagation based optimization for any method) Both for Supervised and Unsupervised Learning Recommended Tools: TensorFlow ( https://www.tensorflow.org/ is in Python); Developed/Maintained by Google Torch (pytorch http://pytorch.org/ is in Python - torch http://torch.ch/ is in Lua language); Developed/Maintained by Facebook AI research and NYU

Email your github username and NYU email account to predictiveanalytics@nyumc.org or narges.razavian@nyumc.org