Hintzelab

MABE

Modular Agent Based Evolution Framework

advanced-genome-model

Experimental work on creating a next-generation genome model for the autoML and computational biologist community.

MABE_extras

Additional modules, utilities, and python functions for MABE.

MABE_testing

automated executable-level functional and consistency testing

nBackPaper

Robustness-of-Sparsely-Distributed-Representations-to-Adversarial-Attacks-in-Deep-Neural-Networks

Repository for the same named article in Entropy

Entropy-Detecting-Information-Relays-in-Deep-Neural-Networks

Code to generate the data and perform analysis for that publication, contains the code to compute information relay decomposition using a greedy algorithm

GWASmodel

Using data generated by MABE to perform a GWAS and a systematic KO analysis to compare both resutls

MABE_Vis

Experimental branches dealing with getting non-standard data out of MABE and also visualizing it. Testing ground for new data export features and possibly vis features.

NCAA-D-21-01407R2

Neuroevolution gives rise to more focused information transfer compared to backpropagation in recurrent neural networks

TD_EGT

code repository for the thermodynamics of evolutionary game theroy