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Name: Prasad Devkar
Type: User
Company: IIT Madras
Location: Chennai
Name: Prasad Devkar
Type: User
Company: IIT Madras
Location: Chennai
In this short project, compressive strength is predicted for any given mix design. It will help to obtain a safe design mix that minimizes cost while meeting specific requirements.
This app aims to detect cracks in the wall, with the help of Deep learning framework
This python script developed approach which uses various Explainable AI techniques to interpret the results given by fault detection and diagnosis model for Air Handling Units.
FDD Scheme is developed with Deep neural network, undefined faults are identified with Supervised Auto-encoders.
In this project, fault detection and diagnosis model with decision tree is developed based on ASHRAE RP 1312 data. Rules generated by decision tree can be verified with domain expertise.
Cracks in bridges is major concern. This project uses deep learning framework with transfer learning to develop crack detection model.
In this project, deep learning model for ECG signal classification is developed. Using SHAP, outputs given by model are explained.
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.