EquivariantNetworks

Salient files

sim_train.py, recombination_train.py: Code for automating the training of the two principal topologies discussed.

core.py: Code used for implementing the equivariant layers

params/ : Parameters for runs used to generate the results in the paper

unit_tests.py : Checking equivariance for the individual layers

testing_symmetry: Chcking inference time symmetry for the Bayesian equivariant network

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
params		params
runs		runs
.gitignore		.gitignore
README.md		README.md
SavedModel.h5		SavedModel.h5
SavedModel.yaml		SavedModel.yaml
additive_training_dat.gz		additive_training_dat.gz
coldspots.fasta.gz		coldspots.fasta.gz
core.py		core.py
data_utils.py		data_utils.py
hotspots.fasta.gz		hotspots.fasta.gz
recombination_train.py		recombination_train.py
reproduce.py		reproduce.py
sim_train.py		sim_train.py
simulation_motifs.py		simulation_motifs.py
testing_symmetry.py		testing_symmetry.py
unit_tests.py		unit_tests.py