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Achievement: Pull Shark

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  1. Neural-Network-Pruning Neural-Network-Pruning Public

    Exploring model compression algorithms and experimenting new ideas for NN pruning.

    Jupyter Notebook

  2. visual-counting-project visual-counting-project Public

    Counting currency from video using RepNet as a base model.

    Jupyter Notebook

  3. physics-based-DL physics-based-DL Public

    Experiments on Physics based DL. Using physics equations to guide the training along with supervised loss.

    Jupyter Notebook

  4. DeSnowNet-Impl DeSnowNet-Impl Public

    Implementation of DeSnowNet paper - https://arxiv.org/pdf/1708.04512.pdf

    Jupyter Notebook 2

  5. Icecream-Gridworld Icecream-Gridworld Public

    Exploring RL algorithms like Value Iteration, Policy Iteration, Path Planning(RRT, PRM) etc. on an AI powered robot.

    Python 1

  6. enhanced-SLAM enhanced-SLAM Public

    An improvement over ORB-SLAM to handle dynamic object scenarios.

    C++ 1