This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Learn System Design concepts and prepare for interviews using free resources.

Transliteration of Indian Languages using Tensorflow Sequence to Sequence model

Used LSTM on Flickr dataset

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

A Unified Toolkit for Deep Learning Based Document Image Analysis

Extract the summary from the given text using Convolution Neural Network

Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"

This repo is created to help people with the machine coding interview. There is no free website to provide complete guide for machine coding round so I have created this repo where I have shared al…

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

A curated list of System Design interview questions for SDE-1 (Experienced),SDE-2 and above.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Udacity Self-Driving Car Engineer Nanodegree projects.

Code for challenges/competitions hosted on HackerEarth

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Detection and removal of biases from brain MRI using adversarial architectures. This was my final project for CS 231n (Convolutional Neural Networks for Visual Recognition) at Stanford.