Julien Audibert

Julien Audibert builds open-source educational resources for machine learning practitioners, with a focus on time-series anomaly detection. The anomaly-detection-tutorials project, originally created in 2016, was rebuilt from scratch in 2026 with a higher standard for evaluation rigor and reproducibility. The work spans classical statistical methods through state-of-the-art deep learning architectures, all designed to run on CPU without specialized hardware.