NSGA-NET

NSGA-Net is a neural architecture search algorithm based on the non-dominated sorting genetic algorithm.

To run the search phase, see nsga2_main.py. To configure the evolutionary search, see the options in nsga2_config.py.

NSGA-Net only will run with Python 3.

pip3 install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
datasets		datasets
evaluate		evaluate
evolution		evolution
losses		losses
models		models
plugins		plugins
.gitignore		.gitignore
README.md		README.md
bad_grad_viz.py		bad_grad_viz.py
checkpoints.py		checkpoints.py
dataloader.py		dataloader.py
main.py		main.py
main_extra.py		main_extra.py
model.py		model.py
nsga2_config.py		nsga2_config.py
nsga2_engine.py		nsga2_engine.py
nsga2_individual.py		nsga2_individual.py
nsga2_main.py		nsga2_main.py
parallel_main.py		parallel_main.py
requirements.txt		requirements.txt
test.py		test.py
train.py		train.py
utils.py		utils.py

mikewlange/nsga-net