popmon
model-validation-toolkit
popmon | model-validation-toolkit | |
---|---|---|
1 | 2 | |
486 | 29 | |
0.6% | - | |
6.9 | 7.2 | |
3 months ago | 5 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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popmon
model-validation-toolkit
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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!
What are some alternatives?
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
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.
cape-dataframes - Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.
bodywork - ML pipeline orchestration and model deployments on Kubernetes.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
koalas - Koalas: pandas API on Apache Spark
nannyml - nannyml: post-deployment data science in python
datacompy - Pandas and Spark DataFrame comparison for humans and more!
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
lifetimes - Lifetime value in Python
great_expectations - Always know what to expect from your data.