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Hi šŸ‘‹, I'm Sai Manoj Akondi

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About me

Sai Manoj received his btech in Mechanical engineering at NIT Calicut. He is interested in AI and robotics which lead him to purse his career in AI. He published one SCI research journal and a conference paper in Deep learning genre. He is currently working as data scientist at an organization, building AI products useful to the society and contributing to research community.

  • šŸ”­ Iā€™m currently working on NREF based models, OCR for complex pdfs, self driving tech and many more.
  • šŸ’¬ Ask me about ML, DL and RL
  • šŸ“– Instrested in
    • AI
    • Robotics
    • Self Driving Technology
  • šŸ“« How to reach me [email protected]

Languages and Tools:

c cplusplus opencv python pytorch scikit_learn tensorflow

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ManojAkondi's Projects

covidnet icon covidnet

The aim is not only to make a model which can classify the chest x-ray data but also to extract the heat maps of the x-ray for faster diagnosis and making it more reliable to use in real time.

deep-learning-using-jax icon deep-learning-using-jax

JAX is a Python library designed for high-performance numerical computing, especially machine learning research. Its API for numerical functions is based on NumPy, a collection of functions used in scientific computing. Both Python and NumPy are widely used and familiar, making JAX simple, flexible, and easy to adopt.

efficientcenterdet-for-cervix-type-detection icon efficientcenterdet-for-cervix-type-detection

Cervical cancer is the fourth most common form of cancer in women and the fourth most commoncause of death from cancer in women. Developing countries account for 70% of the cases and 90% of the fatalities.Nowadays Computational methods can be used to classify the cervix type, which wouldbe minimally invasive and does not require lab testing. As Artificial intelligent algorithms are at its peakdevelopment, Our method uses deep learning and object detection techniques for processing and classifying the cervigram types.

efficientcentredet icon efficientcentredet

This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.

flipr_hackathon icon flipr_hackathon

This is the solution for stock-market prediction problem given in flipr 5.0.

portfolyou icon portfolyou

A beautiful portfolio Jekyll theme that works with GitHub Pages.

sentiment-extraction-from-tweets icon sentiment-extraction-from-tweets

The main goal of this repository is to obtain the phrases or words from a given sentence which strongly agree to the corresponding sentiment

stuff-in-pure-python icon stuff-in-pure-python

This repository contains implementations of various algorithms in pure numpy(no tensorflow/pytorch)

supcontrast icon supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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