awesome-neural-art by crypdick

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

updated at Oct. 29, 2024, 6:23 a.m.

Unknown languages

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GitHub
awesome-gradient-boosting-papers by benedekrozemberczki

A curated list of gradient boosting research papers with implementations.

updated at Nov. 2, 2024, 10:57 a.m.

Python

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GitHub
FARGonautica by Alex-Linhares

None

updated at Nov. 4, 2024, 4:37 a.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 Nov. 8, 2024, 1:35 p.m.

Jupyter Notebook

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GitHub
awesome-community-detection by benedekrozemberczki

A curated list of community detection research papers with implementations.

updated at Nov. 14, 2024, 7:21 a.m.

Python

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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 Nov. 15, 2024, 8 a.m.

Python

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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 Nov. 16, 2024, 5:49 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 Nov. 16, 2024, 5:52 p.m.

Python

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GitHub