eli5 VS graph_summarizer

Compare eli5 vs graph_summarizer and see what are their differences.

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions (by TeamHG-Memex)

graph_summarizer

summarize text using graphs and language vector models (by mitya8128)
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eli5 graph_summarizer
1 1
2,730 0
0.8% -
0.0 0.0
about 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
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.

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.

graph_summarizer

Posts with mentions or reviews of graph_summarizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-14.

What are some alternatives?

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

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

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

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

pycaret - An open-source, low-code machine learning library in Python

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

radius-constrained-kmeans - Codes for "No More Than 6FT Apart: Robust K-Means via Radius Upper Bounds", ICASSP 2022

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

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

mlforecast - Scalable machine 🤖 learning for time series forecasting.

fraud-detection-using-machine-learning - Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

dtreeviz - A python library for decision tree visualization and model interpretation.

OmniXAI - OmniXAI: A Library for eXplainable AI