136 skills found · Page 1 of 5
etactica / Mqtt MalariaAttacking MQTT systems with Mosquittos (scalability and load testing utilities for MQTT environments)
krishnaik06 / Malaria DetectionNo description available
venugopalkadamba / Multi Disease PredictorA Machine Learning and Deep Learning based webapp used to predict multiple diseases.
EMOD-Hub / EMODSource files for building the IDM EMOD disease transmission model.
kanchitank / Medibuddy Smart Disease PredictorMultiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.
OpenMalaria-Org / OpenmalariaA simulator of malaria epidemiology and control
OpenSourceMalaria / OSM To Do ListAction Items in the Open Source Malaria Consortium
HarshCasper / Malaria Detection🦟 😷Classifying Malarial Cell Images using Tensorflow and deployed on a Flask Web Server to perform Real-Time Classification 🦠🔥
HakinCodes / Malaria DetectionDetecting Malaria using Deep Learning 🦟🦠
tobsecret / Awesome Malaria Parasite Imaging DatasetsThis repository is an attempt to list all malaria parasite imaging datasets (blood smears). Contributions welcome!
caticoa3 / Malaria HeroDeployable and containerized CNN for detection of malaria parasites in blood smears where images have been segmented into single cells.
malaria-atlas-project / MalariaAtlasAn R interface to open-access malaria data, hosted by the Malaria Atlas Project.
RiturajSaha / Health Discernment SystemA menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.
malariagen / Malariagen Data PythonAnalyse MalariaGEN data from Python
iArunava / Malaria Detection Using KerasMalaria Detection using Deep Learning from Images made available publicly from NIH
RiturajSaha / Malaria Detector ApplicationAn efficient disease detection application with GUI based (tkinter) frontend and a custom CNN model as backend which detects if a cell is parasitized or normal from its image in real time with an accuracy of 95.22%.
krishnakatyal / Malaria DetectionMalaria Detection using Deep Learning
sriniker / TDT Tutorial 2014Tutorial for the Teach-Discover-Treat (TDT) Competition 2014 - Challenge 1: Anti-Malaria hit finding using classifier-fusion boosted predictive models
eoftedal / MalaRIA ProxyProof of concept code (which means poor code quality) for a proxy abusing unrestricted cross domain policies.
Geraldine-Winston / Prediction Of Vector Borne Disease Spread E.g. Malaria Under Climate Scenarios Using ML.No description available
