awesome-neural-art by crypdick

A curated list of awesome neural network-based art resources.

updated at March 3, 2024, 3:12 a.m.

Unknown languages

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GitHub
awesome-decision-tree-papers by benedekrozemberczki

A collection of research papers on decision, classification and regression trees with implementations.

updated at May 19, 2024, 11:18 p.m.

Python

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GitHub
FARGonautica by Alex-Linhares

None

updated at May 21, 2024, 1:28 p.m.

Scheme

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GitHub
explainx by explainX

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

updated at May 22, 2024, 2:42 a.m.

Jupyter Notebook

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GitHub
awesome-graph-classification by benedekrozemberczki

A collection of important graph embedding, classification and representation learning papers with implementations.

updated at May 23, 2024, 7:28 p.m.

Python

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GitHub
awesome-community-detection by benedekrozemberczki

A curated list of community detection research papers with implementations.

updated at May 24, 2024, 2:45 p.m.

Python

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GitHub
awesome-gradient-boosting-papers by benedekrozemberczki

A curated list of gradient boosting research papers with implementations.

updated at May 24, 2024, 8:11 p.m.

Python

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GitHub
awesome-fraud-detection-papers by benedekrozemberczki

A curated list of data mining papers about fraud detection.

updated at May 25, 2024, 4:09 a.m.

Python

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GitHub