Python continues to lead the way when it comes to Machine Learning, AI, Deep Learning and Data Science tasks..This is because Keras is more of an ‘end-user’ library like SKLearn, as opposed to TensorFlow which appeals more to researchers and Machine Learning engineer types.As always, please feel free to vent your frustrations/disagreements/annoyance in the comments section below!Top 8 Python Machine Learning Libraries by GitHub Contributors, Stars and Commits (size of the circle)Now, let’s get onto the list (GitHub figures correct as of October 3rd, 2018):1..LightGBM (Contributors – 91, Commits – 1272, Stars – 6736)“A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks..PyBrain (Contributors – 32, Commits – 992, Stars – 2598)“PyBrain is a modular Machine Learning Library for Python.. More details