AIX360 VS explainerdashboard

Compare AIX360 vs explainerdashboard and see what are their differences.

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AIX360 explainerdashboard
2 2
1,533 2,228
2.0% -
8.2 7.8
2 months ago about 1 month 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.

explainerdashboard

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

What are some alternatives?

When comparing AIX360 and explainerdashboard 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.

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

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

Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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

WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

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

TorchDrift - Drift Detection for your PyTorch Models

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

backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

delve - PyTorch model training and layer saturation monitor