As a well-known Bayesian network structure learning algorithm in equivalence class space (E-space), Greedy equivalence search (GES) is used in many fields. However, it encounters high complexity when ...

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...

A modern, PyTorch-based library for Bayesian changepoint detection in time series data. This library implements both online and offline methods with GPU acceleration support for high-performance ...

Jitterbug 2.0 is a modern, completely rewritten Python framework for detecting network congestion through jitter analysis and change point detection in Round-Trip Time (RTT) measurements. This ...