  PyODDS is an end-to end Python system for outlier detection with database
support. PyODDS provides outlier detection algorithms which meet the demands
for users in different fields, w/wo data science or machine learning
background. PyODDS gives the ability to execute machine learning algorithms
in-database without moving data out of the database server or over the network.
It also provides access to a wide range of outlier detection algorithms,
including statistical analysis and more recent deep learning based approaches.
PyODDS is released under the MIT open-source license, and currently available
at (https://github.com/datamllab/pyodds) with official documentations at
(https://pyodds.github.io/).

Machine Learning;Databases;Machine Learning