Introspective-Neural-Networks

Machine Learning course project, Skoltech 2019

Implementation of neural networks with introspective approach, based on the following papers:

Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
.gitignore		.gitignore
FGSM_INN_MNIST.ipynb		FGSM_INN_MNIST.ipynb
MNIST_ResNet_INN_best.pt		MNIST_ResNet_INN_best.pt
MNIST_ResNet_vanilla_best.pt		MNIST_ResNet_vanilla_best.pt
README.md		README.md
Synthesis_INN_MNIST.ipynb		Synthesis_INN_MNIST.ipynb
Test_Scores_INN_MNIST.ipynb		Test_Scores_INN_MNIST.ipynb
Train_INN_MNIST.ipynb		Train_INN_MNIST.ipynb
classifier_arch.py		classifier_arch.py
convergence_test.ipynb		convergence_test.ipynb
datasets.py		datasets.py
fgsm_attack.py		fgsm_attack.py
models.py		models.py
sampling.py		sampling.py
train_functions.py		train_functions.py
training_textures.ipynb		training_textures.ipynb
training_wasserstein.ipynb		training_wasserstein.ipynb
utils.py		utils.py

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