deepchecks
model-validation-toolkit
| deepchecks | model-validation-toolkit | |
|---|---|---|
| 15 | 2 | |
| 3,373 | 29 | |
| 2.3% | - | |
| 8.2 | 7.2 | |
| 19 days ago | 5 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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deepchecks
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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!
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?
great_expectations - Always know what to expect from your data.
bodywork - ML pipeline orchestration and model deployments on Kubernetes.
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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
feast - Feature Store for Machine Learning
nannyml - nannyml: post-deployment data science in python
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎
giskard - 🐢 Open-Source Evaluation & Testing framework for LLMs and ML models
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]