AIX360 VS backpack

Compare AIX360 vs backpack and see what are their differences.

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient. (by f-dangel)
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AIX360 backpack
2 2
1,533 541
2.0% -
8.2 2.8
about 2 months ago about 2 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AIX360

Posts with mentions or reviews of AIX360. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

backpack

Posts with mentions or reviews of backpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-28.

What are some alternatives?

When comparing AIX360 and backpack you can also consider the following projects:

AIF360 - 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.

cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both

explainable-cnn - 📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

TorchDrift - Drift Detection for your PyTorch Models

SGD-OGR-Hessian-estimator - SGD (stochastic gradient descent) with OGR - online gradient regression Hessian estimator

DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.

explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

DALEX - moDel Agnostic Language for Exploration and eXplanation

pnotify - Beautiful JavaScript notifications with Web Notifications support.