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.
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49β59 / 59
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 59
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
π€ Evaluate: A library for easily evaluating machine learning models and datasets.
shankarpandala
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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
uber
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
meta-pytorch
Training PyTorch models with differential privacy
kyegomez
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Trusted-AI
Interpretability and explainability of data and machine learning models
iver56
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.