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

75 +0

1,624 +2

302 +0

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

217 +0

4,758 +3

742 +0

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

131 +0

2,381 +2

335 +1

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

110 +0

2,334 +3

362 +0

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

10 +0

417 +0

54 +0

GitHub
FARGonautica by Alex-Linhares

None

updated at Nov. 4, 2024, 4:37 a.m.

Scheme

24 +0

113 +0

20 +0

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

49 +0

1,004 +0

155 +0

GitHub
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

6 +0

90 +0

9 +0

GitHub