Explore live open-source projects and AI models.

MLiy (pronounced “Emily”) is a machine-learning platform that allows data scientists to provision and manage processing power in the cloud. It provides an easy-to-use website to install customizable sets of machine learning software for use in data analysis and exploration. This allows data scien... Read more

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a mo... Read more

A predictive tool that uses computer vision and machine learning to monitor and forecast female Aedes aegypti mosquito populations. Built with Raspberry Pi, it combines image processing, environmental data, and linear regression to provide actionable insights for mosquito population control.

Mobile and Web application for real time early prediction of sepsis(6 hours before the onset). I did pre processing, data visualisation , feature engineering and all the data science and machine learning work, I also handled Google Cloud and real time analysis. A flask app is built and deployed o... Read more

Data Analysis of Employees of different departments of any general firm using Machine Learning and predict the performance rating of different employees based on their information Data Loading, Analysis, pre-processing such as data wrangling, visualization, Model building, Model validation and Mo... Read more

A proposed method for automated diagnosis of various diseases based on heart rate variability (HRV) analysis and machine learning. HRV analysis – consisting of time-domain analysis, frequency-domain analysis, and nonlinear analysis – is employed because its resulting parameters are unique for eac... Read more

Thanks to digitization, we often have access to large databases, consisting of various fields of information, ranging from numbers to texts and even boolean values. Such databases lend themselves especially well to machine learning, classification and big data analysis tasks. We are able to train... Read more

# Denoising Dirty Documents Optical Character Recognition (OCR) is the process of getting type or handwritten documents into a digitized format. If you've read a classic novel on a digital reading device or had your doctor pull up old healthcare records via the hospital computer system, you've pr... Read more

Machine-learning approach In this work, author has developed data-driven models that accurately predict the cycle life of commercial lithium iron phosphate (LFP)/ graphite cells using early-cycle data, with no prior knowledge of degradation mechanisms. To build an early-prediction model, a feat... Read more