SVHN Image and Label Synthesis with Conditional DCGAN 
We implement a conditional Deep Convolutional Generative Adversarial Network (DCGAN) sampling high-quality Street View House Numbers (SVHN), conditioned on an embedding of a desired label.
Apr 19, 2024 - EESTec AI Marathon (3rd place)
Using LSTM Recurrent Neural Networks to Predict Sepsis from Clinical Data
Training LSTM-RNN-based model using time-series of raw clinical data measurements for early detection of sepsis.Mar 30, 2024
Intuitive Understanding & In-Code Implementation of Dropout
Dropout helps to prevent overfitting and encourages the network to be more robust by preventing reliance on specific neurons.Nov 26, 2023
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Principal Component Analysis - Derived & Coded
Principal Component Analysis (PCA) is a method to get low dimensional representation of a high-dimensional dataset without losing the important features.Jul 7, 2023