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1. Adversial-Approximate-Inference Adversial-Approximate-Inference Public

   Adversarial Approximate Inference for Speech to Electroglottograph Conversion A deep generative model that learns to infer Electroglottograph (EGG) signals directly from speech using variational in…

   Python

2. Deep-Dilated-Convolutional-Network Deep-Dilated-Convolutional-Network Public

   Python

3. Equivariant-Neural-Network Equivariant-Neural-Network Public

   Equivariant Neural Networks (ENNs) is a modular deep learning library focused on building models that respect the symmetries of data. By leveraging group theory — from discrete symmetries (like rot…

   Jupyter Notebook

4. FlowSeg-Joint-Semantic-Segmentation-and-Optical-Flow-Estimation FlowSeg-Joint-Semantic-Segmentation-and-Optical-Flow-Estimation Public

   An implementation of "FlowSeg," a deep learning approach for simultaneous semantic segmentation and optical flow estimation from video data. This project explores advanced Deep Convolutional Neural…

   Python