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This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Adversarial Attack Training on CapsuleNet and Comparison of results with that of CNNs. (Work in Progress)
Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.
A Simplified Notebook Explaining WGAN and its properties.
Enhancment of Audio Quality (Bit-Depth and Sampling-Rate) using Deep Learning.
Interactive Visual Machine Learning Demos.
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