AIX360 VS DiCE

Compare AIX360 vs DiCE and see what are their differences.

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AIX360 DiCE
2 2
1,533 1,276
2.0% 0.9%
8.2 8.2
2 months ago 17 days 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.

DiCE

Posts with mentions or reviews of DiCE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-31.
  • [D] Have researchers given up on traditional machine learning methods?
    2 projects | /r/MachineLearning | 31 Jan 2023
    - all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications
  • [R] The Shapley Value in Machine Learning
    1 project | /r/MachineLearning | 25 Feb 2022
    Counter-factual and recourse-based explanations are alternative approach to model explanations. I used to work in a large financial institution, and we were researching whether counter-factual explanation methods would lead to better reason codes for adverse action notices.

What are some alternatives?

When comparing AIX360 and DiCE 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.

OmniXAI - OmniXAI: A Library for eXplainable AI

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

CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

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

interpret - Fit interpretable models. Explain blackbox machine learning.

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

harakiri - Help applications kill themselves

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

stranger - Chat anonymously with a randomly chosen stranger

DALEX - moDel Agnostic Language for Exploration and eXplanation

shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).