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DancesWithDobes/README.md

Technical Skills

Programming: Python, C++ (basic), Rust (basic, still learning :) )

Machine Learning: Neural networks, transformers, sklearn, pytorch

Computer Vision: YOLO, Pillow, torchvision, Opencv

Natural Language Processing: PDF summarization using NLP models

Cloud Computing: Google Colab

Current Projects

Machine Learning:

Scientific PDF Document Summarization:

-Exploring a comparison between BART and t5 models.

-Facing challenges in achieving visually appealing summarization outputs.

Multi-Class Image Classification:

-Developing a model using ResNet50 and OpenImages dataset.

-Aiming to classify images containing one or more class objects.

YOLO-Based Object Detection for Vehicles (dash cam or self-driving vehicle):

-Training YOLO to detect common objects encountered during driving, such as people, signs, traffic lights, crosswalks, and animals.

-Considering implementing a nano model to use in real time on a tablet. However system constraints (4GB RAM) may pose limitations on a ChromeOS tablet (Crostini Linux VM).

Pinned Loading

  1. car_management_system car_management_system Public

    Python

  2. engine_failure_prediction engine_failure_prediction Public

    Jupyter Notebook

  3. engine_failure_prediction_using_transformers engine_failure_prediction_using_transformers Public

    Jupyter Notebook

  4. Pothole_binary_classification Pothole_binary_classification Public

    Jupyter Notebook

  5. Pothole_detection_yolo Pothole_detection_yolo Public

  6. vehicle_task_manager vehicle_task_manager Public

    Python