DiCE VS OmniXAI

Compare DiCE vs OmniXAI and see what are their differences.

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model. (by interpretml)
counterfactual-explanations explainable-ml xai interpretable-machine-learning Deep Learning Machine Learning explainable-ai
Source Code
interpretml.github.io
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OmniXAI

OmniXAI: A Library for eXplainable AI (by salesforce)
explainable-ai explainable-ml interpretable-machine-learning Machine Learning explanation
Source Code
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DiCE OmniXAI
2 1
1,270 805
2.1% 3.2%
8.2 5.2
11 days ago 8 months ago
Python Jupyter Notebook
MIT License BSD 3-clause "New" or "Revised" 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.
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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.

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.

OmniXAI

Posts with mentions or reviews of OmniXAI. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DiCE and OmniXAI you can also consider the following projects:

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

interpret - Fit interpretable models. Explain blackbox machine learning.

AIX360 - Interpretability and explainability of data and machine learning models

shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

harakiri - Help applications kill themselves

DALEX - moDel Agnostic Language for Exploration and eXplanation

stranger - Chat anonymously with a randomly chosen stranger

eli5 - A library for debugging/inspecting machine learning classifiers and explaining their predictions

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

neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

DiCE vs CARLA OmniXAI vs interpret DiCE vs AIX360 OmniXAI vs shapash DiCE vs interpret OmniXAI vs SegGradCAM DiCE vs harakiri OmniXAI vs DALEX DiCE vs stranger OmniXAI vs eli5 DiCE vs shapley DiCE vs neuro-symbolic-sudoku-solver