Pinned Loading

1. CADTra-Reproduction-Denoising-Classification CADTra-Reproduction-Denoising-Classification Public

   Reproduction study of CADTra using convolutional denoising autoencoders and transfer learning for chest X-ray and CT classification

   Jupyter Notebook

2. LSTM-GRU-Sequence-Modeling-Experiments LSTM-GRU-Sequence-Modeling-Experiments Public

   Sequence modeling experiments with LSTM and GRU networks, including time-series forecasting, human activity recognition, bidirectional RNNs, autoencoders, and ensemble learning.

   Jupyter Notebook

3. Neural-Network-Design-Experiments Neural-Network-Design-Experiments Public

   Graduate deep learning experiments covering Jordan RNN forecasting, hybrid neural-network classification, and multi-task CIFAR-10 denoising and classification.

   Jupyter Notebook

4. Quadnet-CNN-BiLSTM-Image-Classification Quadnet-CNN-BiLSTM-Image-Classification Public

   Four-stream CNN–BiLSTM architecture for spatial image classification with extensive ablation and controlled experiments on Imagenette.

   Jupyter Notebook

5. Deep-Learning-Architecture-Experiments Deep-Learning-Architecture-Experiments Public

   Graduate deep learning assignment covering CNNs from scratch, residual/inception architectures, transfer learning, hyperparameter analysis, and denoising autoencoders.

   Jupyter Notebook

6. Image-Restoration-Classical-Filters-UNet Image-Restoration-Classical-Filters-UNet Public

   Image restoration experiments comparing Wiener, Richardson–Lucy, CLS deconvolution, and a custom edge-aware U-Net for motion-blur and Gaussian-noise removal.

   Jupyter Notebook