Shreyash rawat (shreyashrawat)

shreyashrawat

Geek Repo

Company:Creation Labs

Location:Vellore

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Shreyash rawat's repositories

Understanding-Neural-Nets

Creating neural nets and language models from scratch

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deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

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Rawat-Portfolio

A collection of all my works from Telling Stories With Data class in CMU

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POCASUM

Categorizes privacy policies and summarizes them

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Covid-Stock-Predictor

This combination of time series model and XG Regressor gives the stock prediction witha loss less than 0.002.

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RCNN_from_scratch

Creating a basic rcnn for object detection for your own customized dataset

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FineTuning-CNN

Fine tuning VGG-16 to train on custom dataset

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InvasiveDuctalCarcinomaDetection

Classifying IDC(+) or negetive with an accuracy of 91% using keras

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AnimeSketcher

Created an Image translation GAN for sketching images from photos

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R_MASKCNN

Masking the images with pretrained RMASKCNN model

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SatelliteImageConvertor

Converts satellite images to google maps images using a pix2pix model in keras

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PokemonGenerator

Generating new pokemons using a DCGAN

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Fashion_CDCGAN

Generating specific types of apparales using conditional GAN

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Face-Generator

DCGAN architecture to create new faces using celeba dataset

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Cifa10_Generator

Using GANS to create new images for cifar10 dataset

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Digit_Generator

GAN network from scratch to create handwritten digits

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Segmentation-using-U-net

Image segmentation using modified u-net model

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Pneumonia-Detection

Experimenting various learning rates of different optimization functions and comparing them to VGG16

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MobNet-V2-

Multi-class image classification

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Hostel-Critiques

It is a structured website for the students of Vellore Institute Of Technology to view the information about the various hostels available after logging in. They can also rate any particular hostel and comment on it which will be very useful for other members

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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