The best alternatives to Python Machine Learning are Lobe, NanoNets, and Evidently AI. If these 3 options don't work for you, we've listed over 10 alternatives below.
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Lobe is an easy-to-use visual tool that lets you build custom deep learning models, quickly train them, and ship them directly in your app without writing any code.
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.
Evidently helps evaluate and monitor machine learning models in production. The tool generates visual reports on model performance to detect and debug issues. Follow the releases on Github: https://github.com/evidentlyai/evidently
Anon is an automated machine learning cloud service. It delivers a data scientist as a service, at a fraction of the costs, without needing to have machine learning knowledge.
Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
Efemarai is a visual, 3D machine learning debugger that allows you to inspect your models as they train or make predictions. You can visualize models and data in 3D, step through your code to find issues and un...