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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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PromotedBest alternatives to Python Machine Learning
- 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
- Nexosis provides a public API which allows developers to quickly add machine learning to applications.
- The Python Package Index (PyPI) is a repository of software for the Python programming language.
- 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.
- Datapane is a python framework that converts your Jupyter Notebook into a beautiful, shareable, and interactive data app in seconds.
- Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
- We publish one machine learning question every day. That's it! You load the page, answer the question, and return the next day. Rinse and repeat.
- Web-base annotation platform for sharing and creating datasets at any scale.
- 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 understand why your model is behaving the way it is.
