Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
MIT License
POT : Python Optimal Transport
A Python Library for Graph Outlier Detection (Anomaly Detection)
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Awesome machine learning for combinatorial optimization papers.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of cau...
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
Uplift modeling and causal inference with machine learning algorithms
List of papers studying machine learning through the lens of category theory
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Tools for causal analysis
Enabling easy statistical significance testing for deep neural networks.
StellarGraph - Machine Learning on Graphs