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87 Commits
AutoEncoder_CIFAR10_TF2_Model_Subclassing.ipynb
AutoEncoder_CIFAR10_TF2_Model_Subclassing.ipynb
 
 
AutoEncoder_MNIST_TF2_Functional_API.ipynb
AutoEncoder_MNIST_TF2_Functional_API.ipynb
 
 
AutoEncoder_MNIST_TF2_Model_Subclassing.ipynb
AutoEncoder_MNIST_TF2_Model_Subclassing.ipynb
 
 
Autoencoders_MNIST_Example.ipynb
Autoencoders_MNIST_Example.ipynb
 
 
Autoencoders_TensorFlow2.py
Autoencoders_TensorFlow2.py
 
 
Beta-ConvVAE_MNIST_torch.ipynb
Beta-ConvVAE_MNIST_torch.ipynb
 
 
Conditional_ConvVAE_MNIST_torch.ipynb
Conditional_ConvVAE_MNIST_torch.ipynb
 
 
Conditional_VAE-MNIST_TF2.ipynb
Conditional_VAE-MNIST_TF2.ipynb
 
 
Conditional_VAE_MNIST-PyTorch.ipynb
Conditional_VAE_MNIST-PyTorch.ipynb
 
 
ConvVAE_MNIST-torch.ipynb
ConvVAE_MNIST-torch.ipynb
 
 
Conv_Autoencoder-MNIST_torch.ipynb
Conv_Autoencoder-MNIST_torch.ipynb
 
 
Conv_Autoencoder_MNIST-torch_lightning.ipynb
Conv_Autoencoder_MNIST-torch_lightning.ipynb
 
 
Convolutional_VAE_MNIST-PyTorch.ipynb
Convolutional_VAE_MNIST-PyTorch.ipynb
 
 
GAN-MNIST_PyTorch.ipynb
GAN-MNIST_PyTorch.ipynb
 
 
Generate_Synthetic_Tabular_data-GAN.ipynb
Generate_Synthetic_Tabular_data-GAN.ipynb
 
 
Import_CSV_in_PyTorch.py
Import_CSV_in_PyTorch.py
 
 
LeNet300_Autoencoder_MNIST-torch_lightning.ipynb
LeNet300_Autoencoder_MNIST-torch_lightning.ipynb
 
 
README.md
README.md
 
 
StraightThroughEestimator_ConvAE_MNIST_torch.py
StraightThroughEestimator_ConvAE_MNIST_torch.py
 
 
TimeGAN_TF2.ipynb
TimeGAN_TF2.ipynb
 
 
TimeGAN_ydata-synthetic_example.ipynb
TimeGAN_ydata-synthetic_example.ipynb
 
 
Time_Series_Data_Generation-VAE_PyTorch.ipynb
Time_Series_Data_Generation-VAE_PyTorch.ipynb
 
 
VAE-Dense_PyTorch_&_MNIST.ipynb
VAE-Dense_PyTorch_&_MNIST.ipynb
 
 
VAE_CelebA-Latent_Space_Arithmetic_Smiles-PyTorch.ipynb
VAE_CelebA-Latent_Space_Arithmetic_Smiles-PyTorch.ipynb
 
 
VAE_CelebA-PyTorch.ipynb
VAE_CelebA-PyTorch.ipynb
 
 
VAE_Dense_NN-MNIST_Example.ipynb
VAE_Dense_NN-MNIST_Example.ipynb
 
 
VAE_LeNet300_MNIST-PyTorch.ipynb
VAE_LeNet300_MNIST-PyTorch.ipynb
 
 
VAE_LeNet300_MNIST-TF2.ipynb
VAE_LeNet300_MNIST-TF2.ipynb
 
 
VAE_MNIST_LeNet300-TF2.ipynb
VAE_MNIST_LeNet300-TF2.ipynb
 
 
VAE_PyTorch_CIFAR10.ipynb
VAE_PyTorch_CIFAR10.ipynb
 
 
VAE_TF2-Testing.ipynb
VAE_TF2-Testing.ipynb
 
 
VAE_TF2_MNIST.ipynb
VAE_TF2_MNIST.ipynb
 
 
VAE_TH-OWL_AI_Hackathon_Dataset_Synthesis.ipynb
VAE_TH-OWL_AI_Hackathon_Dataset_Synthesis.ipynb
 
 
Variational_AutoEncoder_CIFAR10_TF2.ipynb
Variational_AutoEncoder_CIFAR10_TF2.ipynb
 
 
Variational_AutoEncoder_MNIST_TF2.ipynb
Variational_AutoEncoder_MNIST_TF2.ipynb
 
 
desom_tensorflow2.py
desom_tensorflow2.py
 
 

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Autoencoders_Experiments

Codes involving generative probabilistic modelling with deep learning in TensorFlow2 and PyTorch

  • Autoencoder
  • Convolutional Autoencoder
  • GAN

on different datasets:

  • MNIST
  • CIFAR-10
  • CelebA

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Experiments for autoencoders

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