LIDL: Local Intrinsic Dimension estimation using approximate Likelihood

Installing the repository

git clone https://github.com/ptempczyk/glow-pytorch

cd glow-pytorch

pip install -r requirements.txt

Add your dataset to samplers.py or us an existing one run experiments using run_train.sh or train.py script (this may require huge amount of memory)

Name		Name	Last commit message	Last commit date
Latest commit History 146 Commits
checkpoint		checkpoint
ll		ll
losses		losses
notebooks		notebooks
parameters		parameters
sample		sample
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
clean.sh		clean.sh
ll_results_summary.py		ll_results_summary.py
model.py		model.py
plot_txt.py		plot_txt.py
requirements.txt		requirements.txt
run_test_celeba.sh		run_test_celeba.sh
run_test_fashion.sh		run_test_fashion.sh
run_test_fashion_on_mnist.sh		run_test_fashion_on_mnist.sh
run_test_mnist.sh		run_test_mnist.sh
run_test_mnist_on_fashion.sh		run_test_mnist_on_fashion.sh
run_train.sh		run_train.sh
run_train_celeba.sh		run_train_celeba.sh
run_train_fashion.sh		run_train_fashion.sh
run_train_mnist.sh		run_train_mnist.sh
run_train_point_2d.sh		run_train_point_2d.sh
run_train_seq_point_2d.sh		run_train_seq_point_2d.sh
samplers.py		samplers.py
srun_test_celeba.sh		srun_test_celeba.sh
srun_test_fashion.sh		srun_test_fashion.sh
srun_test_mnist.sh		srun_test_mnist.sh
srun_train.sh		srun_train.sh
srun_train_celeba.sh		srun_train_celeba.sh
srun_train_cifar_horses_40.sh		srun_train_cifar_horses_40.sh
srun_train_fashion.sh		srun_train_fashion.sh
srun_train_ffhq_5.sh		srun_train_ffhq_5.sh
srun_train_ffhq_50.sh		srun_train_ffhq_50.sh
srun_train_mnist.sh		srun_train_mnist.sh
srun_train_seq.sh		srun_train_seq.sh
test.py		test.py
train.py		train.py
train_delta_sequence.py		train_delta_sequence.py
utils.py		utils.py