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ad_examples

A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.

algoxy

Book of Elementary Algorithms and Data structures

aslfu.github.com

awesome-python3-webapp

elementalgorithm

interview-code

Practice for code interview

ml

nupic

Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms.

oppo_0.71

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

poisson_sampling

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

scikit-learn

scikit-learn: machine learning in Python

scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-project-template

A best practice for tensorflow project template architecture.

tmall_lbs

tushare

TuShare is a utility for crawling historical data of China stocks

vnpy

基于python的开源交易平台开发框架

xgboost

https://github.com/dmlc/xgboost