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Name: Sukonya Phukan
Type: User
Twitter: SukonyaP
Name: Sukonya Phukan
Type: User
Twitter: SukonyaP
Here, I am providing solutions for Web Processing lab experiments(from experiment 1 to experiment 10) of B.Tech 5th semesters (under ASTU)
This is an android application which was build to spread awreness during COVID19 pandemic 2019.
Covid-19 x-ray image enhancement using Histogram Equalization technique
This repository provides codes with datasets for the generation of synthesis images of Covid-19 Chest X-ray using DCGAN as generator and ResNet50 as discriminator from a set of raw covid-19 chest x-ray images, which are enhanced and segmented before passing through the DCGAN model.
Detective Craft is Minesweeper clone game using tkinter in python. Minesweeper is a single-player puzzle video game. The objective of the game is to clear a rectangular board containing hidden "mines" or bombs without detonating any of them, with help from clues about the number of neighboring mines in each field.
Implemented different CNN models for the detection of different types of skin cancers. The dataset consists of 9 classes of different skin cancers along with 1 normal class & thr model have achieved an accuracy of 87.34%.
Here, I have transfer learning the pre-trained MobileNet V2 CNN model to detect whether the person is wearing a mask or not
In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achieve that goal, we have collected data from different sources and then enhanced the low-quality images using the Image enhancement technique. Our next step was to train a CNN (Convolutional Neural Network) on the images in order to detect air pollution by analyzing the clearness of the sky in the image. In this work, we have used the Inception V3 model. After the successful testing of the CNN model, we have deployed the model on an Android Application.
Speaker Identification Using Ensemble Learning Approach Considering CNN As Feature Extractor
Here, I have used 6 different Neural Network models to carry out the analysis & Prediction of stock price/performance and achieved 85.5% accuracy with Gradient Boosting Model.
Example Streamlit app that you can fork to test out share.streamlit.io
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.