Optimizing Prediction-Target Assignments via Hungarian Matcher
Notes on how the Hungarian algorithm enables optimal object matching for timeseries segmentation, from its role in object detection to its adaptation for temporal sequences.Feb 4, 2025
SVHN Image and Label Synthesis with Conditional DCGAN
Implement a conditional Deep Convolutional Generative Adversarial Network (DCGAN) sampling high-quality Street View House Numbers (SVHN).
Apr 19, 2024 - EESTec AI Marathon (3rd place)
Using LSTM RNNs to Predict Sepsis from Clinical Data
Training a Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) model on raw time-series clinical data for early sepsis detection. 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