stella's repositories
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.
interview-code
Practice for code interview
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
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.
vnpy
基于python的开源交易平台开发框架
xgboost
https://github.com/dmlc/xgboost