Quantum Particle Swarm Optimization in MATLAB
URL: https://github.com/ritwikraha/Particle-Swarm-Optimization-using-Matlab
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Implementation of Quantum behaved Particle Swarm Optimization algorithm in Matlab.
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Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
URL: https://github.com/ritwikraha/Particle-Swarm-Optimization-using-Matlab
Implementation of Quantum behaved Particle Swarm Optimization algorithm in Matlab.
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URL: https://github.com/forkbomb-666/phonocardiogram
Classification of normal and abnormal sound based on the phonocardiogram(hear sounds) using classic machine learning algorithms.
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URL: https://github.com/ariG23498/Age_Detector_App
An Android application that predicts the age category that the person in the image falls in.
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URL: https://github.com/ariG23498/license-plate-detection
A full stack data science project which helps in the localisation of a license plate and extracting the number of the plate when provided with a vehicle image. The models are exposed in REST API and the API endpoint is consumed by a Mobile Application.
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URL: https://github.com/sayakpaul/Vehicle-Number-Plate-Detection
This project demonstrates the use of TensorFlow Object Detection API to automatically number plates (Indian) from vehicles.
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URL: https://github.com/VimalkumarKandasamy/nec_hackathon
We have built this product to propel clients to utilize public transport by furnishing the client(as per relevance) with complete subtleties of any vehicle .
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URL: https://github.com/Ramanan17/Devanagri-Script-Recognition.git
Use Cascaded resnet architecture for Devnagri Text Detection
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URL: https://github.com/SukhatankarSV/Click2KnowM
It's an android application used in Smartphones used to recognize the objects in the image clicked by the smartphone camera.
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URL: https://github.com/SukhatankarSV/AutoNavigator
It's a Self-Driving Car Prototype through Machine Learning. The remote controlled car is trained to navigate on its own on the provided path towards the destination.
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URL: https://github.com/Tanvesh-11/Face_Recog
k-NN is one of the foremost basic classification algorithms in machine learning. It belongs to the supervised learning class of machine learning. k-NN is usually employed in search applications wherever you're searching for “similar” things.
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URL: https://youtu.be/-HWsaMcV0sk
Here you go with the first version of the Robotic Arm we built.
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URL: https://github.com/imskr/Plant_Disease_Detection
Plant Disease Detection using Deep Learning Web Application with State of the Art Results!
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URL: https://github.com/brunapearson/mtrl-auto-uav
In this project, we propose an end-to-end multi-task regression-based learning approach capable of defining flight commands for navigation and exploration under the forest canopy, regardless of the presence of trails or additional sensors (i.e., GPS).
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URL: https://github.com/SukhatankarSV/Multiplayer-Minesweeper-with-AI-Solver
It’s a handy Web-Application to play the Minesweeper game. It facilitates users with Single Player and Multiplayer mode. The application also incorporates effective use of AI to provide hint or solve the game.
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URL: https://github.com/MHDYousuf/chatapp
MedBay is a interactive platform for Doctors and patients. The patients are allowed to send medical report via the platform and using AI, detailed scan suggestions are submitted to the doctor.
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URL: https://github.com/bhuvanakundumani/busboard_blog.git
Bus name board classifier - A deep learning project to classify bus board images in regional language(Tamil) /English in Chennai, India.
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URL: https://github.com/Ujwal2910/LSTM_Book_Genearator
We will be using LSTMs and recurrent networks to bring back famous personalities into a chatbot type interface.
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URL: https://github.com/sanchzs/asl-fingerspelling
Translating the American Sign Language alphabet to the English alphabet.
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URL: https://github.com/daya-kulkarni/Intel-Drone-Project
Recognize if drone feed contains object/person and do a trick based on classification
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URL: https://link.springer.com/chapter/10.1007/978-3-030-11726-9_9
A new deep learning method is introduced for the automatic delineation/segmentation of brain tumors from multi-sequence MR im- ages. A Radiomic model for predicting the Overall Survival (OS) is de- signed, based on the features extracted from the segmented Volume of Interest (VOI). An encoder-decode
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