cristlee
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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Build your neural network easy and fast, 莫烦Python中文教学
Recipes for using Python's pandas library
Learn python3 in one picture.
Jupyter notebooks from the scikit-learn video series
IPython Parallel: Interactive Parallel Computing in Python
Implementing a Neural Network from Scratch
Tutorial on scikit-learn and IPython for parallel machine learning
Dual LSTM Encoder for Dialog Response Generation
Source code for my collection of articles on using pandas.
Materials for my Pycon 2015 scikit-learn tutorial.
A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support