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1. FaceGenerationUsingVariationalAutoencoder FaceGenerationUsingVariationalAutoencoder Public

   VARIATIONAL AUTOENCODERS are Generative model. A Generative Model is a powerful way of learning any kind of data distribution using unsupervised learning and it has achieved tremendous success over…

   Jupyter Notebook 2

2. BlurRemovalUsingAutoencoders BlurRemovalUsingAutoencoders Public

   BlurRemoval-Using-an-Autoencoder Are you poor at taking photos Just like me? Here I have made a Deep learning model using Autoencoder architecture to remove unwanted blur from the image.

   Jupyter Notebook

3. ImageDenoising-Using-Autoencoders ImageDenoising-Using-Autoencoders Public

   I built a Denoising Autoencoder to remove noise from the image. Image Denoising is the process of removing noise from the Images The noise present in the images may be caused by various intrinsic o…

   Jupyter Notebook 1

4. ReconstructionOfImage-Using-DeepAutoEnccoders ReconstructionOfImage-Using-DeepAutoEnccoders Public

   Autoencoder is a type of neural network where the output layer has the same dimensionality as the input layer. In simpler words, the number of output units in the output layer is equal to the numbe…

   Jupyter Notebook 1

5. covisense.github.io covisense.github.io Public

   JavaScript

6. TwitterSentimentAnalysis TwitterSentimentAnalysis Public

   Sentiment analysis (text mining and opinion mining) uses Natural Language Processing to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual dat…

   Jupyter Notebook