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Hi there šŸ‘‹

I am an experienced career scientist with a background in machine learning. I enjoy applying mathematics, statistics, and machine learning to solve real-world problems.

  • šŸ”­ Iā€™m currently working on research areas related to continual/lifelong learning, adversarial machine learning, learning in nonstationary environments, and applications of machine learning.
  • šŸŒ± Iā€™m teaching myself reinforcement learning and occasionally dabble in JuliaLang.
  • šŸ‘Æ I love collaborating with people in applied areas to integrate machine learning approaches to address their challenges.
  • šŸ˜„ Pronouns: He/Him/His

Gregory Ditzler's Projects

pycil icon pycil

PyCIL: A Python Toolbox for Class-Incremental Learning

pyfeast icon pyfeast

A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR

qiime icon qiime

Quantitative Insights Into Microbial Ecology (QIIME): Official repository for software and unit tests

rc icon rc

collection of files for configuring vim, emacs, ...

rfml icon rfml

Radio Frequency Machine Learning with PyTorch

slss icon slss

Sequential learning for subset selection (SLSS) codes.

theano-rnn icon theano-rnn

Demonstration of recurrent neural network implemented with Theano

ua-ece523-engrappmldata icon ua-ece523-engrappmldata

This is the code and data repo for the University of Arizona's Machine Learning and Data Analytics (ECE523) course.

uvadlc_notebooks icon uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

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