Pinned Repositories
algo-practicals
Algorithms
Practical Problems on Algorithms.
Algorithms-c-
Semseter 3 Algorithm problems
Assembly-8086
bash-scripts
Bash Scripts
C_plus_plus
cnn-digit-recognition-tensorflow
Handwritten Digit Recognition WebApp using TensorFlow and Flask.
HealthBook
The HealthBook web application
Python
Python
R
SheenamYadav's Repositories
SheenamYadav/C_plus_plus
SheenamYadav/HealthBook
The HealthBook web application
SheenamYadav/Python
Python
SheenamYadav/algo-practicals
SheenamYadav/Algorithms
Practical Problems on Algorithms.
SheenamYadav/Algorithms-c-
Semseter 3 Algorithm problems
SheenamYadav/Assembly-8086
SheenamYadav/bash-scripts
Bash Scripts
SheenamYadav/cnn-digit-recognition-tensorflow
Handwritten Digit Recognition WebApp using TensorFlow and Flask.
SheenamYadav/R
SheenamYadav/Data-Structures-and-Algorithms
This repository contains data structure programs and solutions [ in C++] of a problem using different techniques like Dynamic Programming , Greedy Algorithms , Divide and Conquer , Backtracking etc.
SheenamYadav/game-management
SheenamYadav/guides
A collection of easy-to-understand guides to programming tools
SheenamYadav/html-table-extractor
extract data from html table
SheenamYadav/manisha_cpp
SheenamYadav/mca101_vidul
SheenamYadav/ML-MOOC-NPTEL
This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
SheenamYadav/mohit
SheenamYadav/Python-1
MCA 101 Object Oriented Programming
SheenamYadav/RAM
"Recurrent Models of Visual Attention" in TensorFlow
SheenamYadav/Sheenam
SheenamYadav/Table-Reading-Understanding-in-Documents-Images
Tables and forms are a very common way to organize information in structured documents. Their recognition is fundamental for the recognition of the documents. Indeed, the physical organization of a table or a form gives a lot of information concerning the logical meaning of the content. The requirement of detection and identification of tables from document images is crucial as tables contain important information, and also most of the layout analysis methods fail in the presence of tables in the document image. To build a solution that can detect tables and its layout in a given documents, then make sense of the information they present. Tables present in documents are often used to compactly communicate important information in rows and columns. To automatically extract this information by digitization of paper documents, the tabular structures need to be identified and the layout and inter-relationship between the table elements need to be reserved for subsequent analysis.
SheenamYadav/TableRecognition
SheenamYadav/tesseract
SheenamYadav/Twenty_One
Game of Twenty One
SheenamYadav/Web-Development