ContrXT VS DiCE

Compare ContrXT vs DiCE and see what are their differences.

ContrXT

a tool for comparing the predictions of any text classifiers (by Crisp-Unimib)
Machine Learning text-classification Natural Language Processing NLP xai xai-library trustworthy-machine-learning trustworthy-ai Data Science interpretable-machine-learning text-classification-python explainable-ml human-computer-interaction datascience-machinelearning Code Quality Data Visualization Natural Language
Source Code
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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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ContrXT DiCE
1 2
24 1,276
- 1.4%
0.0 8.2
almost 2 years ago 20 days ago
Python Python
GNU General Public License v3.0 only MIT License
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ContrXT

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

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 ContrXT and DiCE you can also consider the following projects:

TalkToModel - TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

OmniXAI - OmniXAI: A Library for eXplainable AI

DALEX - moDel Agnostic Language for Exploration and eXplanation

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

nlp-recipes - Natural Language Processing Best Practices & Examples

AIX360 - Interpretability and explainability of data and machine learning models

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

interpret - Fit interpretable models. Explain blackbox machine learning.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

harakiri - Help applications kill themselves

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

stranger - Chat anonymously with a randomly chosen stranger

ContrXT vs TalkToModel DiCE vs OmniXAI ContrXT vs DALEX DiCE vs CARLA ContrXT vs nlp-recipes DiCE vs AIX360 ContrXT vs argilla DiCE vs interpret ContrXT vs spaCy DiCE vs harakiri ContrXT vs refinery DiCE vs stranger