awesome-graph-classification by benedekrozemberczki

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

created at July 14, 2018, 12:13 p.m.

Python

218 +0

4,695 -3

744 +0

GitHub
awesome-decision-tree-papers by benedekrozemberczki

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

created at May 11, 2019, 6:14 p.m.

Python

132 +0

2,323 +5

338 +1

GitHub
awesome-community-detection by benedekrozemberczki

A curated list of community detection research papers with implementations.

created at Oct. 10, 2018, 3:17 p.m.

Python

109 -1

2,258 +1

359 +0

GitHub
awesome-fraud-detection-papers by benedekrozemberczki

A curated list of data mining papers about fraud detection.

created at May 27, 2019, 10:23 a.m.

Python

75 +0

1,524 +3

294 +1

GitHub
awesome-gradient-boosting-papers by benedekrozemberczki

A curated list of gradient boosting research papers with implementations.

created at May 11, 2019, 5:39 p.m.

Python

52 +0

977 +1

154 +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

created at June 16, 2020, 2:27 p.m.

Jupyter Notebook

10 +0

381 +1

53 +0

GitHub
FARGonautica by Alex-Linhares

None

created at July 30, 2017, 9:10 p.m.

Scheme

24 +0

108 +1

19 +0

GitHub
awesome-neural-art by crypdick

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

created at Nov. 11, 2018, 1:41 a.m.

Unknown languages

6 +0

87 +0

10 +0

GitHub