Santhosh Kumar (@Skumarr53)
github

Skumarr53

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  • Stars
    star
    202
  • Global Rank 122,305 (Top 5 %)
  • Followers 34
  • Following 1
  • Registered almost 9 years ago
  • Most used languages
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         100.0 %
  • Location 🇮🇳 India
  • Country Total Rank 3,708
  • Country Ranking
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         202

Top repositories

1

Stock-Fundamental-data-scraping-and-analysis

Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go
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66
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2

Attention-is-All-you-Need-PyTorch

Repo has PyTorch implementation "Attention is All you Need - Transformers" paper for Machine Translation from French queries to English.
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64
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3

Principal-Component-Analysis-testing-on-Image-data

This project involves application of PCA technique on image data and assessing its performance in terms of information retention and compressibility.
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27
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4

Image-Caption-Generation-using-Fastai

Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content of images. Achieved 24 BLEU score for Beam search size of 5. Designed a Web application for model deployment using the Flask framework.
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23
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5

Used-Car-Price-Prediction

This project is about helping buyers to make an informed purchase by predicting the price of used cars. Gradient Boosting Regressor turns out to be the best model with a Mean Squared Logarithmic Error (MSLE) of 0.033. Designed an interactive Web application for model deployment using the Flask framework and Hosted on AWS using Elastic Beanstalk service via Docker image.
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6

Planet-Amazon-Kaggle

This project is about building Deep Learning CNN model to label satellite images with Atmospheric conditions (Multi-label classification problem)
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7

CheckBoxClassification

Various types of information can be present when processing documents like forms and statements. The checkbox items, one type of item, are found in many forms and documents. A vital part of information extraction is identifying checkboxes and determining whether they are selected or not. An approach is presented for extracting information from checkboxes in this project. This project is designed to be used as a ready-to-go solution for similar use cases with minimal modifications.
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