Revise, a zero code, desktop ML platform, revolutionizing ML model creation (www.revise.live)

Revise, a new zero-code desktop machine learning platform, has been launched to simplify the process of creating ML models from raw data. Designed to address the inefficiencies often faced by users lacking programming skills, Revise allows users to upload datasets, clean them, and train models through a guided interface without writing any code. This platform is particularly significant for fields like healthcare, where strict regulations such as HIPAA and IRB can hinder the use of cloud-based AutoML solutions. The platform currently supports tabular and image workflows, with capabilities for handling biosignals, omics, and time-series data. Upcoming features will include text classification and named entity recognition for natural language processing. Revise offers built-in tools for addressing data issues like missing values and outliers, along with features to compare multiple models simultaneously. The ability to streamline the modeling process and host trained models locally empowers users from various sectors, including two top medical institutions in California, to derive insights from real datasets without extensive technical knowledge.