Daniel Cooper's repositories
go-ds-from-scratch
Data Science from Scratch - in golang
jonker-volgenant
Jonker-Volgenant solution to the Linear Assignment Problem - in Python
aggregate-files
combine files in a directory, deduplicate, and aggregate necessary columns
DL4J
Deep Learning with DL4J
image-recognition
topics related to image recognition
LinearAssignment
Scala implementation of linear assignment problem algorithms such as Hungarian or Kuhn-Munkres and Jonker-Volgenant
spark
Apache Spark - A unified analytics engine for large-scale data processing
spark-infotheoretic-feature-selection
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
survey-weighting
Methods to weight respondents to a survey or panel, given population targets