vgaurav3011

100-Days-of-ML

The aim is to revise deep learning, statistics, and learn cutting edge implementations of state of art models

Accident-Detection-System-using-Image-Segmentation-and-Machine-Learning

Bike-Sharing-Demand-Analysis

A quick overview and insights into predicting the demand and supply of bike share pooling by building a network from scratch

Car-Evaluation-Analysis

An end-to-end project with deployment of machine learning models on local server, that deals with multi-class classification problem of car evaluation, as per the user requirements.

DeepRoof

Deep Learning Image Processing to detect rooftops of buildings and analyse them

Movie-Recommender-Engine

A movie recommendation engine based Database Management System built as an open source movie recommender to promote freedom of software

Rainfall-Prediction

Predicts rainfall rate through analysis of various parameters such as precipitation, humidity and dew rate

SIH-RainWater-Harvesting-1

Smart India Hackathon Winning submission for the Goldman Sachs problem statement at NIT Calicut

Statistics-for-Machine-Learning

Youtube-Likes-Prediction

vgaurav3011/100-Days-Of-ML-Code

100 Days of ML Coding

vgaurav3011/100-Days-of-ML-Code-1

My progress on the 100-days-of-ML-code challenge.

vgaurav3011/2019-wuhan-coronavirus-data

2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV)

vgaurav3011/bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

vgaurav3011/covid19-testing

COVID-19 Testing Site Finder with Risk Assessment

vgaurav3011/covid19-tracker

vgaurav3011/Data-science-project

vgaurav3011/DesigniteJava

Detects smells and computes metrics of Java code

vgaurav3011/EIP-3.0-

Deep Learning Course sponsored by NASSCOM Phase-1

vgaurav3011/Flutter-Course-Resources

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

vgaurav3011/FMix

Official implementation of 'Understanding and Enhancing Mixed Sample Data Augmentation'

vgaurav3011/grokking-deep-learning-notebooks

My Personal Notebooks & Code to Go Along with the "Grokking Deep Learning" Book by Andrew Trask

vgaurav3011/Hachart

HaHa, this is a flowchart generator.

vgaurav3011/hydejack

"Best Jekyll Theme by a Mile"

vgaurav3011/introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

vgaurav3011/js-code-to-svg-flowchart

js2flowchart - a visualization library to convert any JavaScript code into beautiful SVG flowchart. Learn other’s code. Design your code. Refactor code. Document code. Explain code.

vgaurav3011/Machine-Learning-1

Examples and experiments around ML for upcoming Coding Train videos

vgaurav3011/mediator

a medium inspired jekyll theme

vgaurav3011/meshrcnn

code for Mesh R-CNN, an academic publication, presented at ICCV 2019

vgaurav3011/mi_card_flutter

Starter code for the Mi Card Project from the Complete Flutter Development Bootcamp

vgaurav3011/mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

vgaurav3011/ML-Roadmap

:robot: Roadmap to becoming a Machine Learning developer in 2020

vgaurav3011/ML_paper_notes

:book: Notes and summaries of some Machine Learning / Computer Vision / NLP papers.

vgaurav3011/Semantic-Shapes

A semantic segmentation pipeline for custom image annotation

vgaurav3011/sql-for-data-science

Notes, annotations, and exercises from Coursera's SQL for Data Science course: https://www.coursera.org/learn/sql-for-data-science

vgaurav3011/SupportVectorMachine

Python implementation of Support Vector Machine (SVM) classifier

vgaurav3011/t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

vgaurav3011/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

vgaurav3011/ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

vgaurav3011/understanding-ml

Repository of notebooks for understanding how machine learning methods work