Semi-supervised-Learning-with-VAE

Methods for semi-supervised learning such as. VAE, ConvVAE, RecurrentVAE, etc.

Still in process. For my own use so there is no structure.

Name		Name	Last commit message	Last commit date
Latest commit History 53 Commits
Logs_and_saved_images		Logs_and_saved_images
data		data
models_and_losses		models_and_losses
runs		runs
utils		utils
Analýza_decoderu.ipynb		Analýza_decoderu.ipynb
CNN-VAE_DeepConvVAE_ELU_NLL_100ep_lr-1e-3_bs-300.ipynb		CNN-VAE_DeepConvVAE_ELU_NLL_100ep_lr-1e-3_bs-300.ipynb
CNN-VAE_DeepConvVAE_ELU_NLL_250ep_lr-{1e-3, 1e-4}_bs-300.ipynb		CNN-VAE_DeepConvVAE_ELU_NLL_250ep_lr-{1e-3, 1e-4}_bs-300.ipynb
CNN-VAE_DeepConvVAE_ReLU_NLL_200ep_lr-1e-4_bs-100.ipynb		CNN-VAE_DeepConvVAE_ReLU_NLL_200ep_lr-1e-4_bs-100.ipynb
CNN_VAE_BN-Wider-latent_space.ipynb		CNN_VAE_BN-Wider-latent_space.ipynb
CNN_VAE_BN.ipynb		CNN_VAE_BN.ipynb
CNN_for_classification_on_original_space.ipynb		CNN_for_classification_on_original_space.ipynb
CRNN.ipynb		CRNN.ipynb
CRNN_classification_original_space.ipynb		CRNN_classification_original_space.ipynb
CRNN_classification_original_space_1.ipynb		CRNN_classification_original_space_1.ipynb
Classification with InceptionTime.ipynb		Classification with InceptionTime.ipynb
Classification_models_with_Linear_layers.ipynb		Classification_models_with_Linear_layers.ipynb
Classification_on_CNN_VAE_latent_space_with_NN.ipynb		Classification_on_CNN_VAE_latent_space_with_NN.ipynb
Classification_on_LSTM-VAE_latent_space_with_NN.ipynb		Classification_on_LSTM-VAE_latent_space_with_NN.ipynb
Classification_on_VAE_latent_space_with_NN.ipynb		Classification_on_VAE_latent_space_with_NN.ipynb
Classification_on_originaly_created_features_space_with_GB.ipynb		Classification_on_originaly_created_features_space_with_GB.ipynb
Classification_on_originaly_created_features_space_with_NN.ipynb		Classification_on_originaly_created_features_space_with_NN.ipynb
Classification_on_originaly_created_features_space_with_SVM.ipynb		Classification_on_originaly_created_features_space_with_SVM.ipynb
DeepVAE_a_SVI_test.ipynb		DeepVAE_a_SVI_test.ipynb
GB - Results of hyperparameter search.ipynb		GB - Results of hyperparameter search.ipynb
GB_on_latent_spaces.ipynb		GB_on_latent_spaces.ipynb
GRU_VAE_DeepGRU_VAE_NLL_300ep_lr_{1e_3,1e_4}_bs_300.ipynb		GRU_VAE_DeepGRU_VAE_NLL_300ep_lr_{1e_3,1e_4}_bs_300.ipynb
Generative_M2_VAE_debugging.ipynb		Generative_M2_VAE_debugging.ipynb
Gradient_Boosting-Hyperparams_search.py		Gradient_Boosting-Hyperparams_search.py
Gradient_Boosting_on_latent_space_hyperparam_search.ipynb		Gradient_Boosting_on_latent_space_hyperparam_search.ipynb
Gradient_Boosting_on_latent_space_hyperparam_search.py		Gradient_Boosting_on_latent_space_hyperparam_search.py
InceptionTime + CVAE BN.ipynb		InceptionTime + CVAE BN.ipynb
LSTM-VAE-DeepLSTM_VAE_MSE_100ep_lr-1e-3_bs-300.ipynb		LSTM-VAE-DeepLSTM_VAE_MSE_100ep_lr-1e-3_bs-300.ipynb
LSTM-VAE-DeepLSTM_VAE_NLL_100ep_lr-1e-3_bs-100.ipynb		LSTM-VAE-DeepLSTM_VAE_NLL_100ep_lr-1e-3_bs-100.ipynb
LSTM-VAE-DeepLSTM_VAE_NLL_100ep_lr-1e-3_bs-200_2-lstmLayers.ipynb		LSTM-VAE-DeepLSTM_VAE_NLL_100ep_lr-1e-3_bs-200_2-lstmLayers.ipynb
LSTM-VAE-DeepLSTM_VAE_NLL_440ep_lr-{1e-3,1e-4}_bs-300.ipynb		LSTM-VAE-DeepLSTM_VAE_NLL_440ep_lr-{1e-3,1e-4}_bs-300.ipynb
LSTM_VAE_remake_II.ipynb		LSTM_VAE_remake_II.ipynb
LSTM_for_classification_on_original_space.ipynb		LSTM_for_classification_on_original_space.ipynb
Loading-and-preprocessing-sequences.ipynb		Loading-and-preprocessing-sequences.ipynb
Porovnání rekonstukce.ipynb		Porovnání rekonstukce.ipynb
README.md		README.md
RVAE+NN_unfrozen.ipynb		RVAE+NN_unfrozen.ipynb
ResnetVAE-Wider-latent-space-II.ipynb		ResnetVAE-Wider-latent-space-II.ipynb
ResnetVAE-Wider-latent-space.ipynb		ResnetVAE-Wider-latent-space.ipynb
ResnetVAE.ipynb		ResnetVAE.ipynb
SSVAE_CRNN_m_II_with_Pyro_H_alpha_better_scale.ipynb		SSVAE_CRNN_m_II_with_Pyro_H_alpha_better_scale.ipynb
SSVAE_with_Pyro_H_alpha.ipynb		SSVAE_with_Pyro_H_alpha.ipynb
SSVAE_with_Pyro_H_alpha_InceptionTime_more_ep-better_scale.ipynb		SSVAE_with_Pyro_H_alpha_InceptionTime_more_ep-better_scale.ipynb
SSVAE_with_Pyro_H_alpha_better_scale.ipynb		SSVAE_with_Pyro_H_alpha_better_scale.ipynb
SSVAE_with_Pyro_MNIST.ipynb		SSVAE_with_Pyro_MNIST.ipynb
SVC-Hyperparams_search.py		SVC-Hyperparams_search.py
SVM - Results of hyperparameter search.ipynb		SVM - Results of hyperparameter search.ipynb
SVM_on_latent_spaces.ipynb		SVM_on_latent_spaces.ipynb
VAE_on_real_data_variational_layer.ipynb		VAE_on_real_data_variational_layer.ipynb
VAE_on_real_data_variational_layer_mark_III.ipynb		VAE_on_real_data_variational_layer_mark_III.ipynb
VAE_on_real_data_variational_layer_mark_IV.ipynb		VAE_on_real_data_variational_layer_mark_IV.ipynb
VAE_on_real_data_variational_layer_mark_IV_2.ipynb		VAE_on_real_data_variational_layer_mark_IV_2.ipynb
VAE_on_real_data_variational_layer_mark_V.ipynb		VAE_on_real_data_variational_layer_mark_V.ipynb
VAE_with_Pyro_H_alpha.ipynb		VAE_with_Pyro_H_alpha.ipynb
VAE_with_Pyro_MNIST.ipynb		VAE_with_Pyro_MNIST.ipynb
layers.py		layers.py
models.py		models.py
t-SNE original features.ipynb		t-SNE original features.ipynb
t-SNE.ipynb		t-SNE.ipynb
visualization_latent_space.py		visualization_latent_space.py

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