License Plate Recognition
URL: https://github.com/mrkazmi333/License_Plate_Recognition_Open_CV_3_Python
Description:
Extracting characters from the license plate of a vehicle and converting it into a text file
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Artificial Intelligence
Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
GAPML
Description:
The Gap NLP/CV data engineering framework is an open source project that provides an easy to get started into the world of machine learning for your unstructured data in PDF documents, scanned documents, TIFF facsimiles and camera captured documents and your image data in image files and image repositories.
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Flutter_Recognize
URL: https://github.com/saikarthik952/flutter_recognize
Description:
Cross Platform Mobile App which recognises Text Face and gives Labels
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Product Recommender system using TF-IDF and Word2Vec
URL: https://github.com/Nilex-Shinde/Recommender-system-using-ML
Description:
In this project i have cleaned an amazon dataset of 500 products and then performed sentiment analysis on the product description and recommended most relevant products based on the results.
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IasoCoin
URL: https://github.com/shichence/stanford-hackathon-IasoCoin
Description:
Global ecosystem to fund precision medicine and empower patient data sovereignty with blockchain and AI
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ObjectDetectingWithDrone
URL: https://github.com/dongwook412/ObjectDetectingWithDrone
Description:
Object Detecting with drone using Intel's CNN algorithm & Implement Android Application
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NorthKoreaReactionInRussia
URL: https://github.com/dongwook412/NorthKoreaReactionInRussia
Description:
When North Korea's missiles and provocations arise, the reactions in Russia are identified as positive, neutral, and negative through articles, comments, and SNS.
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Venture Capital Tool alpha mode
URL: https://github.com/akhilboddu/VentureCapitalTool_algorithm
Description:
The biggest thing of all investment companies, Venture Capitalists, Angel Investors or incubators and accelerators look for is how much profit a business can actually make in the future. So this model basically predicts how much profit a business would potentially make based on how much they spend on R&D, Administration, and Marketing.
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Drowsiness detection and alert system (DDAS)
URL: https://github.com/Gauravsahadev/Drowsiness-detection-and-alert-system-DDAS-
Description:
Drowsiness detection and alert system(DDAS) is an electronic device for the safety of the people who travel and drive. Nowadays there are several types of sensors and navigation systems available in the market for safe driving. One mistake of the driver can lead to severe damages or physical injuries, deaths and significant economic losses.
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Movie Recommender
URL: https://github.com/akhilboddu/recommedationSystem
Description:
A python based model that recommends movies based on what the user has previously selected, and what similar users have selected.
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Student Attendance System Using Facial Recognition
URL: https://github.com/ryancliffew44/Face-detection-Recognition-
Description:
This project was developed as a solution to the manual student attendance monitoring by using a camera appropriately positioned to scan and recognized a registered student's face.
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NSE-stocks-forecast-using-ARIMA-Model
URL: https://github.com/mohammedsaket/NSE-stocks-forecast-using-ARIMA-Model
Description:
Applied ARIMA Model to forecast NSE- stocks AND Applied Visualization technique to understand data
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Drug Molecular Toxicity Prediction using Deep Neural Networks
URL: https://github.com/muditchaudhary/DrugMolecularToxicityPrediction
Description:
All human beings are exposed to different chemicals during their lifetime through food, medicines, daily-life products etc. over 30% of drugs have failed in human clinical trials because they are determined to be toxic despite promising pre-clinical studies in animal models. Real-world chemical trials for assessing drugs are extremely time consuming. It will be ideal if a computational drug molecular toxicity assessment method can be developed to test the chemical's toxicity.
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Skin Lesion Classification to detect Melanoma using Deep Convolution Networks
URL: https://github.com/muditchaudhary/Skin-Lesion-Classification
Description:
Skin Cancer is one of the major health problem with almost 5 million newly diagnosed cases every year throughout the world. Melanoma is the deadliest form of skin cancer and is responsible for almost 10000 deaths each year in just United States. System that can help screen melanoma will greatly help in its diagnosis.
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Jum: an iOS app that helps you live your best days
URL: https://github.com/napat99/Jum
Description:
How was your day? Do you think about this question a lot? Jum helps you reflect on what makes you happy (or sad) in each of your day through an easy daily journey. Machine Learning is applied to make suggestions on how to live happier days.
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Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs
URL: https://github.com/koriavinash1/Optic-Disk-Cup-Segmentation
Description:
Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network
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Ensemble of Deep 2D and 3D Fully Convolutional Neural Network for Brain Tumor Segmentation
Description:
Automated brain tumor segmentation using an ensemble of deep convolutional neural networks
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Clown FIlter
URL: https://github.com/amarjeet987/ClownFilter
Description:
Face Filter that adds a clown nose to your face.
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Autonomous Driving Concepts
URL: https://drive.google.com/open?id=1qwfXfAWyf0XtixPZCHocKsNyTbZL26xt
Description:
Want to make Autonomous Driving a reality? Let's cover cool and essential concepts like perception, path planning, localization etc, and contribute to further research in the future!
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Object Localization Without Bounding Box Information Using Generative Adversarial Reinforcement Learning
URL: https://github.com/erenhalici/garl_localization
Description:
The aim of the project is to create an object localization framework, which can work without having any explicit bounding box information. Instead of relying on bounding boxes, the framework uses tightly cropped object images as training data.
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