Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning
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Updated
Aug 13, 2021 - JavaScript
Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning
对话机器人,包含了看图说话,单轮对话和多轮对话,tensorflow 2.0 pytorch 1.3.1 GPT-2
Bridging the gap between Patients and Doctors
Webapp to recognize handwritten digits using mnist model.
A web-based system for processing Audio using Deep Learning
Team Random Chaos' repository for Qiskit Fall Fest Hackathon, IITR 2021 (Rock-Paper-Scissors-Lizard-Spock using Quantum Random Number Generator)
This is a small example project that shows how an Object Detection model can be run in the browser
Website source for the Checkmate project
Demo for mouth openness detection at https://igla.su/mouth-open-js/ , models at https://github.com/iglaweb/YawnMouthOpenDetect
FLOCAST is a NextGen web application developed by Team Nexalus that aims to serve as a solution for Two-way mobile communication (G2C and C2G) for the dissemination of flood forecasts to end-users with the collection of real-time data of inundation areas through crowd sourcing. The project is hosted under the problem statement of the Central Wat…
Create conversations in sign language using machine learning!!! Realtime SLD is a 1-to-1 video calling web application which detects sign language and displays them in real-time on the caller's screen.
Transformer based Neural Machine Translation with Tensorflow2
Real-Time Solutions | Live Demo 1. Sentiment analysis of real-time tweets 2. Spam Ham Classifier
Web application which uses CNN to predict Pneumonia using X-ray images
The deployment branch contains code for the corresponding Heroku website (https://brick-house-identifier.herokuapp.com/). The code for the model development can be found at https://github.com/gitgranthub/target_market.
The app offers a full healthcare ecosystem for the user. It helps the user to stay healthy by using a fun and engaging reward based system.
Introducing ARLA-extension, a JavaScript module that ensures the integrity of examinations. ARLA-extension safeguards against cheating by blocking features such as copy/paste, printing a webpage, and also provides helpful information about the device. Not only that, it also brings you TensorFlow.js face and full body tracking.
NodeJS inference repository use Tensorflow-Keras
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