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Deepchecks

Comprehensively validate your machine learning models and data with minimal effort
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What is Deepchecks?

It is a Python package for comprehensively validating your machine learning models and data with minimal effort. This includes checks related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.
Deepchecks is a tool in the Machine Learning Tools category of a tech stack.
Deepchecks is an open source tool with 3.4K GitHub stars and 244 GitHub forks. Here’s a link to Deepchecks's open source repository on GitHub

Who uses Deepchecks?

Companies

Developers

Deepchecks Integrations

Deepchecks's Features

  • Suites of checks
  • Data integrity
  • Distribution checks
  • Performance checks

Deepchecks Alternatives & Comparisons

What are some alternatives to Deepchecks?
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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Deepchecks's Followers
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