Data Science Group, IIT Roorkee

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

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Interactive Visual Machine Learning Demos.

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PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

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Discussions on papers, frameworks, blogs and ideas every Saturday.

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Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.

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Data Science Challenge

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Enhancment of Audio Quality (Bit-Depth and Sampling-Rate) using Deep Learning.

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Winning solution of work done on model extraction over Vision Transformers such as Video-Swin-T and MoViNeT-A2-Base on Video Action-Recognition tasks under Inter-IIT Tech Meet 10.0

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This is a question bank for practicing Machine Learning for Interviews.

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Keras implementation

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