model-validation-toolkit
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production. (by FINRAOS)
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. (by deepchecks)
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model-validation-toolkit | deepchecks | |
---|---|---|
2 | 15 | |
29 | 3,350 | |
- | 3.2% | |
7.2 | 8.2 | |
5 months ago | 9 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
model-validation-toolkit
Posts with mentions or reviews of model-validation-toolkit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-06.
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[P] Deepchecks: an open-source tool for high standards validations for ML models and data.
Looks very cool, thanks for sharing! I see someone else already mentioned great_expectations -- in addition, here's another library it might be interesting to integrate with: https://github.com/FINRAOS/model-validation-toolkit
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New open source project: Model Validation Toolkit [P]
Please feel free to reach out to me here, on Gitter, or via Github issues for questions and comments!
deepchecks
Posts with mentions or reviews of deepchecks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-18.
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Detect, Defend, Prevail: Payments Fraud Detection using ML & Deepchecks
Also if you have any confusion related to it. You can directly go to their discussion section in github :
- Deepchecks: Open-source ML testing and validation library
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Deepchecks' New Open Source is on Product Hunt, and Needs Your Help
GitHub for Deepchecks: https://github.com/deepchecks/deepchecks
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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Data Validation tools
I use DeepChecks for my continuous training pipelines. You can check out the Data Integrity Checks.
- Deepchecks
- deepchecks: Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
- QA help comes in many forms: Sometimes, from your heavily funded competitor
- Deepchecks: An open-source tool for testing machine learning models and data
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Test suites for machine learning models in Python (New OSS package)
And if you liked the project, we'll be delighted to count you as one of our stargazers at https://github.com/deepchecks/deepchecks/stargazers!
What are some alternatives?
When comparing model-validation-toolkit and deepchecks you can also consider the following projects:
bodywork - ML pipeline orchestration and model deployments on Kubernetes.
great_expectations - Always know what to expect from your data.