Create Artistic Effect by Stylizing Image Background
URL: https://github.com/margaretmz/segmentation-style-transfer
Description:
The project shows how to chain together multiple ML models to stylize the background of an image.
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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.
DeePre: Delisting Predictor
Description:
Market downturns are an unavoidable reality. There are substantial commonalities in the trends of companies that face being delisted from the stock market that show up as far as one year before the actual removal of the stock. We use DL/NLP on financial statements to perform risk assessment.
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workload_prediction
URL: https://github.com/esalcort/ML_CPI_predictor
Description:
Explore machine learning algorithms accuracy at predicting workload and performance metrics of general-purpose CPU
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Autonomous Driving
URL: https://github.com/amanbasu/Autonomous-Car-Prototype
Description:
This project uses various Deep Learning model architectures to classify the self-generated road data for building an autonomous car.
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ECG Authentication
URL: https://github.com/amanbasu/ECG-Authentication
Description:
This project contains the code of developing a Deep Learning model to identify individuals based on their ECG signals. Its has been developed using Keras and TensorFlow and hosted on the Google Cloud Platform for deployment.
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Object Detection in Satellite Images
URL: https://github.com/amanbasu/ship-detection
Description:
This project is built to automatically detect ships in the Satellite Images.
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Openvino-Colab
URL: https://github.com/alihussainia/openvino-colab
Description:
The project allows the users to use OpenVINO toolkit in Google Colab notebooks. Thus, allowing users to get freedom from worrying about hardware or Operating system requirements and easily get started working on OpenVINO toolkit. The project's aim is to allow an open, easy and free access to Edge AI
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Cardiac Abnormality Detection using Machine Learning
URL: https://github.com/srimanthtenneti/Cardiac-Abnormality-Detection
Description:
Detection of heart diseases from Cardiac report data is a tedious task that requires multiple medical workers to process it and then doctors analyzing it. So to simplify the analysis we have constructed a simple model that takes in certain parameters and predicts if the patient has heart disease.
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Coronavirus Probability Checker
URL: https://github.com/Siddhant-K-code/Coronavirus-Probability-Checker
Description:
It is a Probability Checker for COVID-19, people can input values and symptoms and according to the data, the patient will get the probability of +ve COVID-19. Currently, I trained this on Random data. If we execute this idea with official Data, it can be very helpful for Peoples.
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MultiTaskNet
URL: https://github.com/JonathanKarin/Multi-Task
Description:
Learn RNA protein binding preferences.
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A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning
URL: https://github.rcac.purdue.edu/Clan-labs/RS_Pricing
Description:
Significant development of ride-sharing services presents a plethora of opportunities to transform urban mobility by providing personalized and convenient transportation while ensuring efficiency of large-scale ride pooling. However, a core problem for such services is route planning for each driver
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Face Mask Detection using tensorflow and opencv
URL: https://github.com/sarthak7509/Mask_Detector
Description:
This is an implementation of face mask detection system (Comments are throughout the code so that you can understand it better)
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Robust Transformer
URL: https://github.com/abhijitmjj/Robust-transformer
Description:
A tool for designing reproducible Machine learning experiments. It’s an end to end functional style data transformation distributed pipeline built on top of Intel OneAPI and Google JAX.
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EdgeWare
URL: https://github.com/GbllYao/EdgeWare
Description:
When multiple services running on the resource-constrained edge devices, how limited resources can dynamically support the desired services is of the utmost importance for both researchers and developers. Efficiently and dynamically managing edge services becomes critical for edge platforms.
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Lets Collect Feeback with AI for the Toll..
URL: https://drive.google.com/open?id=16bI0aA5Q8OJ_xbg6kDkTvmtRyNCkiK6s
Description:
It is normally difficult to collect feedback about the services from customers. They are not interested in spending time with pen and paper or with APPS. When it comes to toll gate services like FASTTAG it is extremely difficult to gather the feedback. We provide a solution for the same.
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Multi Task Neural Network for protein-RNA binding prediction
URL: https://github.com/JonathanKarin/Multi-Task
Description:
Protein-RNA binding plays vital roles in post-transcriptional gene regulation. In this work, wedeveloped MultiRBP, a deep learning-based method to predict RNA binding of hundredsof proteins to a given RNA sequence. The innovation of MultiRBP is in its multi-task.
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Deep-Morphology: TSV Extrusion Morphology Recognition Using Deep Learning Paradigms
URL: https://github.com/iCAS-Lab/Deep-Morphology
Description:
In this project, we use deep learning paradigms to recognize the morphology of through-silicon via (TSV) extrusion in 3D ICs. TSV extrusion is a crucial reliability concern which can deform and crack interconnect layers in 3D-ICs and cause device failures.
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cgen-dlang
URL: https://github.com/cgen-dlang/cgen-dlang
Description:
cgen.dlang is a collaborative design system developed for small communities (5 – 50 people) who want to generate a collection of the team created and computer mutated visual structures that are likely to be optimal reflections of a team’s aesthetic values. These visual structures capture the full tr
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COVID-19 Face Mask Detector
URL: https://github.com/vineeth2281/Covid_face_mask_detector
Description:
The Face Mask Detector shows you weather a person is wearing mask or not My face mask detector didn't uses any morphed masked images dataset. The model is accurate, and since we used the MobileNetV2 architecture, it’s also efficient and thus making it easier to deploy the model .
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OpenVINO-YOLOV4
URL: https://github.com/TNTWEN/OpenVINO-YOLOV4
Description:
This is implementation of YOLOV4,YOLOV4-relu,YOLOV4-tiny ,YOLOV4-tiny-3l ,Scaled-YOLOv4 in OpenVINO2021.3
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