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  1. This project, for Udacity's C++ Nanodegree, uses YOLOv3 Deep Neural Network and OpenCV to detect objects in a user supplied video or webcam.

    C++ 1

  2. Command line application that predicts the breed of a dog in a user supplied image. Built with PyTorch by using a transfer learning technique applied to various deep CNN architectures.

    Python 1

  3. Exploration of various methods to visualize layers of deep Convolutional Neural Networks using Pytorch.

    Jupyter Notebook 14 1

  4. This project, based on a Kaggle competition, demonstrates the full ML pipeline using AWS Sagemaker.

    Jupyter Notebook

  5. Implementation of an Unscented Kalman Filter fusing Lidar and Radar data to estimate the state of an object.

    C++

  6. Movie review sentiment analysis application trained and deployed on AWS. End-to-end development and deployment process using AWS Sagemaker, Lambda, API Gateway

    Python

190 contributions in the last year

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Contribution activity

August 2022

justinbellucci has no activity yet for this period.