SHIV HARI TEWARI's Projects
In the code below we have created a new model using U-Net++ architecture. The experiment is based on the U-Net++ architecture or Nested U-Net architecture added with the latest Vgg19 encoder. In this model we have also applied efficient-net with DenseNet of original U-Net++ with VGG16 encoder. We have calculated the dice score and IoU loss functions compared them with the original U-Net++ architecture and examined the encoder.
A simple python program for the calculator
Gauss-Seidel method using OpenMP
A chatbot like jarvis which can open youtube, play songs, send emails etc.
Data analysis and visualizations of daily COVID cases report
This repository contains the basic start, stop and restart of cronListener.
The Dow Jones Industrial Average (DJIA) is a stock market index that monitors 30 big, publicly traded blue-chip businesses that trade on the New York Stock Exchange and the Nasdaq Stock Exchange. The Dow Jones is named after Charles Dow, a business colleague of Edward Jones who founded the index in 1896. The Dow Jones Industrial Average is the country's second-oldest stock market index, after the Dow Jones Transportation Average (DJTA). The DJIA was created as a proxy for the US economy's overall strength. The DJIA, also known as "the Dow," is one of the most widely followed stock market indices in the world. The Dow Jones Industrial Average is made up of a diverse group of companies, all of which are blue-chip companies that routinely generate substantial profits.
The facial emotion recognition model, which tells the emotion of the face by recognizing the image and tells the emotion of that face.
My top 5 favorite movies webpage
A simple website for the listing the movies
A web based project for recommending the movies and shows trailers using html, css, bootstrap, javascript
Projects based on the R programming.
A simple registration in HTML and CSS
A simple registration in HTML and CSS
A code for the self driving, a simulation which can tell how a self driving car works
Config files for my GitHub profile.
it is my personal virtual assistant that plays songs, tells joke, keeps notes and does other things like keeping a reminder etc.
Statistical Analysis of Built-in Dataset in R
The text analysis and classification is a technique to classify the types of texts, the sentiments of the person who wrote the text and analyzes whether the text is positive, neutral or negative. Thus the text analysis system is an important part of modern AI based software which tells the users response according the text user types. The sentiment analysis is a necessary part of all the online shopping services which can tell the admins of the site whether the customers are happy or sad or neutral for their products. In this project we are working on the implementation of the machine learning solution for the text classifications of the peer reviewed research articles, which will going to tell us whether the reviews are positive, negative and neutral. In this project we have worked on the dataset which contains the numbers of mixed review scores and acceptance status. We created and trained the model which classifies the text and then predicts the number of positive and negative reviews with the percentage of accuracy. For the implementation of model we used the python as language and colab for the environment at first we imported all the required libraries these are numpy, pandas,sklearn and spacy for the text reviews.
a django backend based text analyzing tool.
A web based to analyze the text and correct it using django based backend functionality
A tool to analyze your text in the django based backend
A django based text analyzing tool.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent