Vishal-V/Smart-Itinerary

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Created over 5 years ago
Updated about 5 years ago

Vishal-V/Smart-Itinerary

Vishal-V

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An AI based itinerary manager built using MapMyIndia's location APIs

100-Days-of-ML-Code

A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.

Jupyter Notebook

StackGAN

TensorFlow implementation of "Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks" by Han Zhang, et al.

GSoC-TensorFlow-2019

Google Summer of Code 2019 with TensorFlow: Final Work Product

GSoC-TensorFlow-2020

Google Summer of Code 2020 with TensorFlow: Final Work Product

Jupyter Notebook

RainRoof

Watershed, Canny and Mask R-CNN based rooftop volume computation from scaled satellite images. This is similar to Google's SunRoof project.

FSDA-LowLight

Code for "Few Shot Domain Adaptation for Low Light RAW Image Enhancement" BMVC 2021 Best Student Paper Award Runner Up

VR-Pokemon-Game

A VR app where the player must catch all the Pokemon before the time runs out! Gotta catch e'm all!

Mastering-TensorFlow-2.x

Tensorflow models from scratch to help me master the underlying concepts

Jupyter Notebook

InOut-6.0

Jupyter Notebook

SSD

TensorFlow 2.x implementation of Single Shot Detector

Tiny-ImageNet-Challenge

Code and final submission for the Tiny ImageNet Challenge. Trained on Google colab and finished top 5 among 1072 participants

Jupyter Notebook

vishal-v.github.io

My portfolio site

Data-Science

Solution scripts for Siraj Raval's "Learn Python for data Science" Youtube challenge

Genomic-Data-Analysis

Using R and Bioconductor to interpret high throughput genome sequence data. Project inspired by Harvard T.H Chan School of Public Health

YOLOv3-Object-Detection

Object detection using the YOLO v3 algorithm and comparing it with R-CNNs

Jupyter Notebook

Web-Development

Basic Web development projects to practice my skills

VR-Apartment-Scene

A VR apartment tour app built using Unity for Google Cardboard. Download the apk file to get a live demo in your smartphone.