clai
AIF360
| clai | AIF360 | |
|---|---|---|
| 1 | 6 | |
| 449 | 2,311 | |
| - | 1.1% | |
| 0.0 | 7.2 | |
| about 1 year ago | 11 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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clai
AIF360
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perspective off
o https://aif360.mybluemix.net/
- How to detect and tackle bias in my data?
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Building a Responsible AI Solution - Principles into Practice
Besides the existing monitoring solution mentioned in the section above, we were also took inspiration from continuous integration and continuous delivery (CI/CD) testing tools like Jenkins and Circle CI, on the engineering front, and existing fairness libraries like Microsoft's Fairlearn and IMB's Fairness 360, on the machine learning side of things.
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Hi Reddit! I'm Milena Pribic, Advisory Designer for AI and the global design representative for AI Ethics at IBM. Ask me anything about scaling ethical AI practices at a huge company!
My advice is to remember that bias comes into the process intentionally and unintentionally! Tools like AI Fairness 360 can help you mitigate that from a development/technical perspective: https://aif360.mybluemix.net/
- [R] What are some of the best research papers to look into for ML Bias
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
fairlearn - A Python package to assess and improve fairness of machine learning models.
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
pycm - Multi-class confusion matrix library in Python
AIX360 - Interpretability and explainability of data and machine learning models
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
interpret - Fit interpretable models. Explain blackbox machine learning.
0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
model-card-toolkit - A toolkit that streamlines and automates the generation of model cards
verifyml - Open-source toolkit to help companies implement responsible AI workflows.