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Visualize the current corona-outbreak in our area, region or country and simulate its spread in the nearest futures based on parameters that can potentially stem it.
Mit Hilfe von AI bauen wir ein google-maps für Sprache. Mit eigenen Bildern kann man sich seinen Vokabelschatz als Bild-Landkarte zusammenbauen.
Die Übermittlungs-Kapazitäten der Gesundheitsämter sind überlastet, da die Melden-Daten manuell in die Software eingepflegt werden. Lösung: Einpflegung der Melden-Daten durch Künstliche Intelligenz.
WE PROVIDE: Innovative Access to Opportunities - To help navigating through complex and vast amounts of data! Fast Data Filtering and Selection - To find what you need within less than ten questions!
Um als VfB einen Beitrag zur Corona-Krise zu leisten und #stayhome zu unterstützen haben wir eine mobile App entwickelt, die es ermöglicht virtuell gemeinsam Sport- & eSport-Challenges zu absolvieren.
Support doctors diagnosis using AI.
Recognition of hand gestures in 3D space using a single low-resolution camera for converting American Sign Language into any spoken language
Drowsiness and atention monitor for driving. Also detects objects at the blind spot via Pytorch-powered Computer Vision and the NVIDIA Jetson Nano.
Intelligent Image Compressor
Our global waste production is predicted to rise by 70 per cent by 2050 and one of the basic issues with this is waste segregation. This project automates this process using Machine Learning.
DocBot is an AI Doctor that can diagnose and prescribe treatments through telecommunication including Facebook Messaging. Trained using a PyTorch Generative Seq2Seq Chatbot
Using the retina images of the eye, it can detect the possibility of diabetes in a person with the help of Pytorch
What if we used Edge Analytics on a dashcam to map out where potholes were, so that local governments and communities knew where to focus their efforts?
Segmentation Neural Network detects burned areas after wildfires on satellite images so the state can respond thanks to reliable data quickly, and experts can spend less time on primary analysis.
In efforts to aid in the process of finding a cure to deadly diseases (such as covid19). I combined architectures that can generate drug like molecules that are in theory 100% valid molecules.
I want to build a pytorch model for analyzing Facebook post
Library providing Keras-like shape inference for all PyTorch & additional SoTA layers + Minimialistic tool for PyTorch's models deployment on AWS Lambda
A complete steel surface defect classification and detection tasks aim to achieve the specific class and precise location of each defect in the steel plate.
Pytorch implementation for Enhancing Audio Resolution (Upsampling) using AudioUnet Model [ Kuleshov et. al. 2017 ]
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Baby Vibes classifies Baby's mood using Image classification/deep learning and plays "Tom and Jerry to make them smile" . After all, we all love "Tom and Jerry" and happy babies, don't we !!!
Sketch your heart out
Perform feature extraction by constructing graph structure representing the molecules and calculating 1D 2D and 3D descriptors for the molecules.Our aim is to develop a model to detect the HIV drugs.
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