graph_summarizer VS eli5

Compare graph_summarizer vs eli5 and see what are their differences.

graph_summarizer

summarize text using graphs and language vector models (by mitya8128)

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions (by TeamHG-Memex)
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graph_summarizer eli5
1 1
0 2,730
- 0.8%
0.0 0.0
over 2 years ago about 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.

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.

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 graph_summarizer and eli5 you can also consider the following projects:

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)

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

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

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

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

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

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