Pinned Repositories
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.
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.
codeSTACKr
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.
Planet-Amazon-Kaggle
This project is about building Deep Learning CNN model to label satellite images with Atmospheric conditions (Multi-label classification problem)
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.
Quora-Question-Similarity-Kaggle
Project is on building an ML model along with text feature extraction to identify similar questions posted on Quora.
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
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.
Skumarr53's Repositories
Skumarr53/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
Skumarr53/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.
Skumarr53/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.
Skumarr53/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.
Skumarr53/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.
Skumarr53/codeSTACKr
Skumarr53/Amenity-Detection-YOLOv7
Skumarr53/AP_Flask
Skumarr53/AutomatedTrading
Skumarr53/Blind-Deblurring
Blind Deblurring (Deconvolution) System
Skumarr53/CheckBox-Detection-and-Classifiaction
When Processing Documets of like forms and statements, information present could be of various types. Checkbox items, One such type, are found commonly in the forms/douments. identifying checkboxes and whether a check box is selected or not forms vital part of information extraction. This project outlines a simple approch for processing checkboxes and extracting information from them. The idea of the project is let users use this as ready to go for similar usecase without or with little modifications.
Skumarr53/cocosplit
Simple tool to split COCO annotations into train/test datasets.
Skumarr53/Dash-MultipageApp
Skumarr53/DatabricksTest
Skumarr53/former
Simple transformer implementation from scratch in pytorch.
Skumarr53/git-pull-push
testing pull and push
Skumarr53/linkedin2md
(DEPRECATED) Export public LinkedIn profile to Markdown format
Skumarr53/Made-With-ML
Skumarr53/MLops-ideas
Skumarr53/My-Django-Blog
The repo contains the setup files for developing my blog website using Django framework
Skumarr53/My-MongoDB-connect
Skumarr53/Neuron
Skumarr53/Plotly-DashBoard-Examples
Skumarr53/Review-Sentimental-Analysis
Skumarr53/Santhosk-Kumar-Portfolio
Data science portfolio
Skumarr53/SarcasticChatbot
Skumarr53/Skumarr53
Skumarr53/TemplateRepo
Skumarr53/yolov7
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Skumarr53/yolov7-1
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors