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Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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deepchecks reviews and mentions
[D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
17 projects | reddit.com/r/MachineLearning | 28 Oct 2022
Data Validation tools
3 projects | reddit.com/r/mlops | 14 Oct 2022
I use DeepChecks for my continuous training pipelines. You can check out the Data Integrity Checks.
How to trust your machine learning model with Deepchecks
2 projects | dev.to | 16 Jan 2022
Deepchecks (https://github.com/deepchecks/deepchecks) is an open-source 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.2 projects | dev.to | 16 Jan 2022
Explore the docs https://docs.deepchecks.com
[P] Deepchecks: an open-source tool for high standards validations for ML models and data.
3 projects | reddit.com/r/MachineLearning | 6 Jan 2022
A note from our sponsor - Sonar
www.sonarsource.com | 23 Mar 2023
deepchecks/deepchecks is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.