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interpretml/interpret

Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.

6.8K
Active
C++
Interpretability
CLI Tools
scikit-learn
#ai#machine-learning#interpretability

meta-pytorch/opacus

A library for training PyTorch models with differential privacy, enabling privacy-preserving machine learning.

1.9K
Stable
Jupyter Notebook
Machine Learning Ops
Inference
PyTorch
#differential-privacy#machine-learning#neural-network

GreenmaskIO/greenmask

A Go-based tool for database anonymization and synthetic data generation to help with security, QA, and data masking.

1.6K
Stable
Go
Databases
Testing
#database#anonymization#synthetic-data

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