eli5 VS OmniXAI

Compare eli5 vs OmniXAI and see what are their differences.

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eli5 OmniXAI
1 1
2,730 814
0.8% 2.7%
0.0 4.6
about 2 years ago 23 days ago
Jupyter Notebook 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.
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.

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.

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 eli5 and OmniXAI you can also consider the following projects:

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

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

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

interpret - Fit interpretable models. Explain blackbox machine learning.

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

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

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

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

graph_summarizer - summarize text using graphs and language vector models

DALEX - moDel Agnostic Language for Exploration and eXplanation

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

mlforecast - Scalable machine 🤖 learning for time series forecasting.