Abhinav1004

Abhinav1004's Stars

• agarnitin86/Data-Science-Interview-Preparation

  Language:Shell98

• alirezadir/Machine-Learning-Interviews

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

  Language:Jupyter Notebook4.7k822

• ashishps1/awesome-system-design-resources

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

  Language:Java18k4.3k

• amish123/transliteration_tensorflow

  Transliteration of Indian Languages using Tensorflow Sequence to Sequence model

  Language:Python31

• prashantg445/Image-Captioning

  Used LSTM on Flickr dataset

  Language:Jupyter Notebook1112

• 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"

  Language:Python1.5k427

• Layout-Parser/layout-parser

  A Unified Toolkit for Deep Learning Based Document Image Analysis

  Language:Python4.9k466

• mihirsam/Information-Extraction-using-CNN

  Extract the summary from the given text using Convolution Neural Network

  Language:Jupyter Notebook85

• jainammm/TableNet

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

  Language:Jupyter Notebook32072

• 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.

  Language:Java14786

• 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

  Language:Python14460

• sid24rane/System-Design-Interview-Questions

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

  525178

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• 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

  Language:Jupyter Notebook3.3k935

• ndrplz/self-driving-car

  Udacity Self-Driving Car Engineer Nanodegree projects.

  Language:C++2.8k1.4k

• rupak-118/HackerEarth-problems

  Code for challenges/competitions hosted on HackerEarth

  Language:Jupyter Notebook65

• anuragmishracse/caption_generator

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

  Language:Python267120

• 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.

  Language:Jupyter Notebook3