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Kumar Subham's Projects

babylon icon babylon

Microsoft AI Challenge India 2018. Transformer Network architecture is used to create an Attention model which for a query, selects the most relevant passage out of the 10 available passages.

c-plus-plus icon c-plus-plus

This project contains C++ programs and explains various functionalities of the language

data-to-text icon data-to-text

A Data-to-Text System implemented during my summer internship at Fractal Analytics. The system takes raw data in JSON format as input and generates a Title and Summary containing the insights of data

explore-mnist icon explore-mnist

This repository contains various experimentations on the famous MNIST data, which includes implementation of CNNs in TensorFlow and Keras and comparison with softmax regression

human-safety icon human-safety

A Deep Learning approach to ensure safety of humans when automated machines and humans work in close vicinity. Variations of Convolutional Neural Networks used to perform Classification and Detection

jobs-adm-pred icon jobs-adm-pred

This repository contain the codes and data created during Smart India Hackathon '18 for admission and jobs prediction based on demographic location

leave-app-online icon leave-app-online

This project aims at creating a simple leave application submission portal. HTML and PHP is used for client side and server side interactions

machine-translation icon machine-translation

Attempt to translate French to English using an Encoder-Decoder model with RNN units

object-recognition icon object-recognition

This repository uses CIFAR-10 dataset. The Convolutional Neural Network(CNN) is implemented using keras and TensorFlow

text-pred-cla icon text-pred-cla

Text Prediction is done using LSTM units which is responsible for maintaining the contextual dependency. Text Classification using Word-Embeddings to create word vectors and SVM for Classification.

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tsne-word2vec icon tsne-word2vec

Experiments with the application and different functions of Word2Vec. t-SNE plot is used to visualize the data.

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