A Deep Learning Meta-Framework and HPC Benchmarking Library

Anomaly detection for streaming data using autoencoders

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

This repo is for building Docker containers for RStudio, PostgreSQL, Hadoop, Spark, etc.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Deep Learning (Python, C, C++, Java, Scala, Go)

A machine learning package for streaming data in Python. The other ancestor of River.

Data stream generators (with and without concept drift) compatible with MOA 17.06.

Generator for classification with concept drift. Extension of work done in Webb et al. 2016 and posted to GitHub by Dr. François Petitjean.

Python code for parallel simulation of Logic models.

From the basics to slightly more interesting applications of Tensorflow

machine learning course programming exercise

my octave exercises for 2011 stanford machine learning class, posted after the due date of course