Covid-19-spread-prediction

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Tracking the impact of COVID-19 in India

We are building an open database of COVID-19 cases with chest X-ray or CT images.

? Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)

Models of COVID-19 outbreak trajectories and hospital demand

People Counting in Real-Time with an IP camera.

Medical Concept Annotation Tool

Projections of COVID-19, in standardized format