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    • ML draft solutions
      Python
      1200Updated Apr 3, 2016Apr 3, 2016
    • Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
      Python
      Other
      7.9k000Updated Apr 1, 2016Apr 1, 2016
    • This repository holds the list of learning material that we have found useful within the activities of the Sup'Com machine learning group. The sources will range over MOOCs, blog articles, books, videos, papers, etc.
      MIT License
      0000Updated Jan 20, 2016Jan 20, 2016
    • putting few unrelated experiments on the results of some machine learning papers
      0000Updated Nov 17, 2015Nov 17, 2015