GitHub - deepchecks/deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
GitHub - deepchecks/deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.https://github.com/deepchecks/deepchecks

GitHub - deepchecks/deepchecks: Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

🌟 Discover Deepchecks 🧪🤖 - A comprehensive open-source tool for AI & ML validation! From testing data & models to monitoring production, Deepchecks has got you covered. Collaborate, iterate, and ensure model readiness with ease. #AI #ML #DataValidation #Deepchecks 🔍💻

  • The repository "deepchecks" is a holistic open-source solution for AI & ML validation needs.
  • It includes components like Testing, CI & Testing Management, and Monitoring.
  • The core functionality involves running checks and suites for Tabular, NLP, and CV validation.
  • It allows collaboration over test results, iteration until models are production-ready, and monitoring deployed models.
  • The Checks inside deepchecks are for various data and model-related issues and are customizable.
  • Check results can be used for making informed decisions about model readiness and for monitoring in production.
  • Deepchecks is open source with premium features available under a commercial license for Deepchecks Monitoring.
  • Contributions and community involvement are encouraged and appreciated.