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16 followers · 12 following
  • Vellore

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Achievement: Arctic Code Vault Contributor
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syedayazsa/README.md

Hey 👋, This is Syed Ayaz Imam

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I am a computer science student at VIT-Vellore. I specialize in deep learning and machine learning, be it testing, training, or deploying the models.

Currently, I am working as a Deep Learning intern at VitraAI where I am working on text to speech systems and neural rhythm transfer.

I am a blockchain technology enthusiast and I would love to connect with you to share ideas, knowledge, and life experiences.

Feel free to check out my Resume & Projects :)

You can view my resume here.


Some of my Github Stats:

syedayazsa

Github stats Top Langs

Languages and Tools:

arduino bootstrap c cplusplus css3 git html5 java javascript linux mongodb mysql nodejs opencv php postman python pytorch scikit_learn tensorflow

Pinned

  1. Deep-Learning-Self-Driving-Car Deep-Learning-Self-Driving-Car Public

    Trained and Tested a highly accurate CNN model for a self-driving car on data collected from Udacity's car simulator.

    Jupyter Notebook 4 1

  2. DES-Encryption-Parallelization DES-Encryption-Parallelization Public

    In this project I have presented a simple approach to Data Encryption Standard (DES) decryption using OpenMP framework. In order to allow a parallel idiom, I have re-implemented a version of DES al…

    C++ 2 1

  3. Software-Defect-Analysis-Tool Software-Defect-Analysis-Tool Public

    This tool collects various software attributes and probes whether the software passes the quality check or is defective & requires a re-design.

    Jupyter Notebook 2 1

  4. SlayAllergens SlayAllergens Public

    SlayAllergens is python tool which uses cosine similarity and correlation algorithms to provide content based and collaberative recommendations related to food items.

    Python 2

  5. Bird-Species-Detection Bird-Species-Detection Public

    Built a deep-learning model (transfer learning) to classify 225 bird species having 31316 training images, 1125 test images(5 per species), and 1125 validation images.

    Jupyter Notebook 3