OmniXAI VS eli5

Compare OmniXAI vs eli5 and see what are their differences.

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OmniXAI eli5
1 1
812 2,730
2.5% 0.8%
4.6 0.0
14 days ago about 2 years ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" License 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.

OmniXAI

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

eli5

Posts with mentions or reviews of eli5. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-01.

What are some alternatives?

When comparing OmniXAI and eli5 you can also consider the following projects:

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

lime - Lime: Explaining the predictions of any machine learning classifier

interpret - Fit interpretable models. Explain blackbox machine learning.

linear-tree - A python library to build Model Trees with Linear Models at the leaves.

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

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

course-nlp - A Code-First Introduction to NLP course

DALEX - moDel Agnostic Language for Exploration and eXplanation

graph_summarizer - summarize text using graphs and language vector models

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

mlforecast - Scalable machine 🤖 learning for time series forecasting.