4 repositorios
Awesome GitHub RepositoriesModel Fairness And Privacy
Tools for ensuring machine learning models are fair, private, and compliant.
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Awesome Model Fairness And Privacy GitHub Repositories
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- trusted-ai/aif360
Trusted-AI/AIF360
2,827Ver en GitHubA comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Provides comprehensive metrics for assessing dataset and model fairness.
Python - fairlearn/fairlearn
fairlearn/fairlearn
2,251Ver en GitHubA Python package to assess and improve fairness of machine learning models.
Assesses and mitigates unfairness in machine learning model predictions.
Python - tensorflow/privacy
tensorflow/privacy
2,014Ver en GitHubLibrary for training machine learning models with privacy for training data
Implements privacy-preserving training techniques for machine learning models.
Python - pytorch/opacus
pytorch/opacus
1,934Ver en GitHubTraining PyTorch models with differential privacy
Enables differential privacy during the training of neural networks.
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