AIF360
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
OPENAGENTSKILL / DIRECTORY
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Results: 43
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
fairlearn
A Python package to assess and improve fairness of machine learning models.
aws
A library for training and deploying machine learning models on Amazon SageMaker
kyegomez
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
stanfordmlgroup
Natural Gradient Boosting for Probabilistic Prediction
Trusted-AI
Interpretability and explainability of data and machine learning models
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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