Abhinav1004
M.Tech in Data Science @ IIT Hyderabad | B.Tech in CSE @ JMI | Data Scientist and Software Developer
Publicis GroupeGurgaon,India
Abhinav1004's Stars
agarnitin86/Data-Science-Interview-Preparation
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
ashishps1/awesome-system-design-resources
Learn System Design concepts and prepare for interviews using free resources.
amish123/transliteration_tensorflow
Transliteration of Indian Languages using Tensorflow Sequence to Sequence model
prashantg445/Image-Captioning
Used LSTM on Flickr dataset
DevashishPrasad/CascadeTabNet
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"
Layout-Parser/layout-parser
A Unified Toolkit for Deep Learning Based Document Image Analysis
mihirsam/Information-Extraction-using-CNN
Extract the summary from the given text using Convolution Neural Network
jainammm/TableNet
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
iqblmoh/machineCoding
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 all my machine coding practices and created a medium post as well to help with theory part.
dhavalpotdar/Graph-Convolution-on-Structured-Documents
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
sid24rane/System-Design-Interview-Questions
A curated list of System Design interview questions for SDE-1 (Experienced),SDE-2 and above.
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
guillaume-chevalier/LSTM-Human-Activity-Recognition
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
ndrplz/self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
rupak-118/HackerEarth-problems
Code for challenges/competitions hosted on HackerEarth
anuragmishracse/caption_generator
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
sahityamantravadi/cs231n-final-project
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.