43 Repositories
Python coronavirus-disease Libraries
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
Potato Disease Classification Setup for Python: Install Python (Setup instructions) Install Python packages pip3 install -r training/requirements.txt
An Open-Source Tool for Automatic Disease Diagnosis..
OpenMedicalChatbox An Open-Source Package for Automatic Disease Diagnosis. Overview Due to the lack of open source for existing RL-base automated diag
Social Distancing Detector
Computer vision has opened up a lot of opportunities to explore into AI domain that were earlier highly limited. Here is an application of haarcascade classifier and OpenCV to develop a social distancing violation detector. I am passing the algo through a video feed where it first detects people using 'haarcascade_fullbody.xml' classifier algo. OpenCV and some mathematical operations then allow us to make code the social distancing violation logic
This git repo contains the implementation of my ML project on Heart Disease Prediction
Introduction This git repo contains the implementation of my ML project on Heart Disease Prediction. This is a real-world machine learning model/proje
Our product DrLeaf which not only makes the work easier but also reduces the effort and expenditure of the farmer to identify the disease and its treatment methods.
Our product DrLeaf which not only makes the work easier but also reduces the effort and expenditure of the farmer to identify the disease and its treatment methods. We have to upload the image of an affected plantβs leaf through our website and our plant disease prediction model predicts and returns the disease name. And along with the disease name, we also provide the best suitable methods to cure the disease.
Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease
Heart_Disease_Classification Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease Dataset
Implemented Exploratory Data Analysis (EDA) using Python.Built a dashboard in Tableau and found that 45.87% of People suffer from heart disease.
Heart_Disease_Diagnostic_Analysis Objective π― The aim of this project is to use the given data and perform ETL and data analysis to infer key metrics
smc.covid is an R package related to the paper A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the COVID-19 case by Storvik et al
smc.covid smc.covid is an R package related to the paper A sequential Monte Carlo approach to estimate a time varying reproduction number in infectiou
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs This is the code for the LERP. Dataset The dataset used is MI
This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
ICCV Workshop 2021 VTGAN This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
This Deep Learning Model Predicts that from which disease you are suffering.
Deep-Learning-Project This Deep Learning Model Predicts that from which disease you are suffering. This Project Covers the Topics of Deep Learning Int
The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.
Quantifying Hippocampus Volume for Alzheimer's Progression Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder that result
A machine learning project which can detect and predict the skin disease through image recognition.
ML-Project-2021 A machine learning project which can detect and predict the skin disease through image recognition. The dataset used for this is the H
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning
Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests β’ All countries β’ Updated daily by Our World in Data
COVID-19 Dataset by Our World in Data Find our data on COVID-19 and its documentation in public/data. Documentation Data: complete COVID-19 dataset Da
Its a Plant Leaf Disease Detection System based on Machine Learning.
My_Project_Code Its a Plant Leaf Disease Detection System based on Machine Learning. I have used Tomato Leaves Dataset from kaggle. This system detect
Coronavirus Tracker API
Coronavirus Tracker API Provides up-to-date data about Coronavirus outbreak. Includes numbers about confirmed cases, deaths and recovered. Support mul
π¦ A simple and fast ( 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak.
π¦ A simple and fast ( 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the π₯ FastAPI framework. Supports multiple sources!
Hack computer in the form of RAR files from all types of clients, even Linux
Program Features π Hide malware π Vulnerability software vulnerabilities RAR π Creating malware π Access client files π Client Hacking π Link Do
Coronavirus whatsapp chatbot to give real time info on covid
Covy Developed a coronavirus whatsapp chatbot which gives case counts in a particular district, city, state or country. It also predicts future cases
Classification of ecg datas for disease detection
ecg_classification Classification of ecg datas for disease detection
Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Context-Aware-Healthcare Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Download
A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece.
COVID-19-Greece A python-generated website for visualizing the novel coronavirus (COVID-19) data for Greece. Data sources Data provided by Johns Hopki
PyTorch implementation of MICCAI 2018 paper "Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector"
Grouped SSD (GSSD) for liver lesion detection from multi-phase CT Note: the MICCAI 2018 paper only covers the multi-phase lesion detection part of thi
A simple python script to fetch the latest covid info
covid-tracker-script A simple python script to fetch the latest covid info How it works First, get the current date in MM-DD-YYYY format. Check if the
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
VR-Caps: A Virtual Environment for Capsule Endoscopy Overview We introduce a virtual active capsule endoscopy environment developed in Unity that prov
Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"
DiLBERT Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP" Pretrained Model The pretrained model presented in the paper is
BESS: Balanced Evolutionary Semi-Stacking for Disease Detection via Partially Labeled Imbalanced Tongue Data
Balanced-Evolutionary-Semi-Stacking Code for the paper ''BESS: Balanced Evolutionary Semi-Stacking for Disease Detection via Partially Labeled Imbalan
Summer: compartmental disease modelling in Python
Summer: compartmental disease modelling in Python Summer is a Python-based framework for the creation and execution of compartmental (or "state-based"
Classify the disease status of a plant given an image of a passion fruit
Passion Fruit Disease Detection I tried to create an accurate machine learning models capable of localizing and identifying multiple Passion Fruits in
The official repository for "Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds"
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds The why Im
The open-source web scrapers that feed the Los Angeles Times California coronavirus tracker.
The open-source web scrapers that feed the Los Angeles Times' California coronavirus tracker. Processed data ready for analysis is available at datade
Disease Informed Neural Networks (DINNs) β neural networks capable of learning how diseases spread, forecasting their progression, and finding their unique parameters (e.g. death rate).
DINN We introduce Disease Informed Neural Networks (DINNs) β neural networks capable of learning how diseases spread, forecasting their progression, a
COVID-Net Open Source Initiative
The COVID-Net models provided here are intended to be used as reference models that can be built upon and enhanced as new data becomes available
Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020
PlantDoc: A Dataset for Visual Plant Disease Detection This repository contains the Cropped-PlantDoc dataset used for benchmarking classification mode
A Python package for the mathematical modeling of infectious diseases via compartmental models
A Python package for the mathematical modeling of infectious diseases via compartmental models. Originally designed for epidemiologists, epispot can be adapted for almost any type of modeling scenario.
Checks for Vaccine Availability at your district and notifies you using E-mail, subscribe to our website.
Vaccine Availability Notifier Project Description Checks for Vaccine Availability at your district and notifies you using E-mail every 10 mins. Kindly
Tracker to check the covid shot slot availability in India and send mobile alerts via Twilio Messaging Service.
Cowin-Slot-Tracker Tracker to check the covid vaccine slot availability in India and send mobile notifications through Twilio Messaging Service. Requi
Python Implementation of the CoronaWarnApp (CWA) Event Registration
Python implementation of the Corona-Warn-App (CWA) Event Registration This is an implementation of the Protocol used to generate event and location QR
[rewrite μ€] μ½λ‘λλ°μ΄λ¬μ€κ°μΌμ¦-19(COVID-19)μ κ΅λ΄/κ΅μΈ λ°μ λν₯ μ‘°ν API | Coronavirus Infectious Disease-19 (COVID-19) outbreak trend inquiry API
COVID-19API μ½λ‘λ λ°μ΄λ¬μ€ κ°μΌμ¦-19(COVID-19, SARS-CoV-2)μ κ΅λ΄/μΈ λ°μ λν₯ μ‘°ν API Corona Virus Infectious Disease-19 (COVID-19, SARS-CoV-2) outbreak trend inquiry
ππ Global COVID-19 vaccination data at the regional level.
COVID-19 vaccination data at subnational level. To ensure its officiality, the source data is carefully verified.
Format Covid values to ASCII-Table (Only for Germany and Austria)
Covid-19-Formatter (Only for Germany and Austria) Dieses Script speichert die gemeldeten Daten des RKIs / BMSGPK und formatiert diese zu einer Asci Ta