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Achievement: Pull Sharkx2Achievement: Quickdraw

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eshansurendra/README.md

Hi there, I'm Eshan

🙎 Eshan Surendra | 🛸 Sri Lanka

  • 🎓 Electronic & Telecommunication Engineering Undergraduate Student at University of Moratuwa
  • 🚀 I'm enthusiastic about Generative AI and Deep learning!
  • 🔧 Currently working on a Stable Difusion based Face Generation project.

📫 How to reach me:

LinkedIn    Portfolio    LinkedIn

Languages and Tools:

python tensorflow pytorch opencv azure arduino matlab c cplusplus git java html5 javascript css

reactnative firebase flask django mongodb linux

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  1. Automatic-Retractable-Clothesline-System Automatic-Retractable-Clothesline-System Public

    Automate and enhance your clothesline experience with this Arduino-based system. It automates the retraction process triggered by rain detection, protecting clothes during inclement weather. The sy…

    C++ 2 3

  2. cell_anomaly_detection_using_autoencoders cell_anomaly_detection_using_autoencoders Public

    This repository offers a TensorFlow-based anomaly detection system for cell images using adversarial autoencoders, capable of identifying anomalies even in contaminated datasets. Check out our code…

    Jupyter Notebook 4

  3. GenericHTTP-ESP8266-01 GenericHTTP-ESP8266-01 Public

    Simplify HTTP requests using ESP8266-01 with Arduino. Easily connect to Wi-Fi, send HTTP GET and POST requests, and handle responses. Ideal for IoT projects and data retrieval from web APIs.

    C++ 1

  4. handwritten-digit-classification handwritten-digit-classification Public

    This repository demonstrates a basic image classification project using TensorFlow, focusing on recognizing handwritten digits.

    Jupyter Notebook 3

  5. emoji-localization emoji-localization Public

    This repository contains the code and resources for the Object Localization with TensorFlow project completed on Coursera.

    Jupyter Notebook 1

  6. handTrackWithOpenCV handTrackWithOpenCV Public

    Simple Computer vision implementation to track motions of hands using OpenCV

    Python 1