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1. Sentiment_analysis Sentiment_analysis Public

   We employed a Long Short-Term Memory (LSTM) neural network to analyze sentiments in a Twitter dataset. The objective was to categorize tweets as either positive or negative based on their content.

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2. DeepImageGenerator DeepImageGenerator Public

   using Convolutional Autoencoder to generate images

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3. Deep_Learning_Workshop Deep_Learning_Workshop Public

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4. DeepAutoEncoders- DeepAutoEncoders- Public

   applying-vanilla-and-convolutional-autoencoder-to-Mnist-dataset

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5. signal-processing-compressive-sensing signal-processing-compressive-sensing Public

   applying compressive sensing algorithm to reconstruct signal from random selections .

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6. Graph-machine-learning Graph-machine-learning Public

   Node classification using Node2Vec method for karate_club dataset

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