On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “PyOD”

PyOD: A Python Toolbox for Scalable Outlier Detectioncs.LG

PyOD offers scalable outlier detection for multivariate data.

problem Scalable outlier detection for multivariate data.

method Wide range of outlier detection algorithms, including ensembles and neural networks.

result Robust and scalable outlier detection.

outlier detection multivariate data scalable PyOD Python

2019-01-06abs ↗pdf ↗

PySAD: A Streaming Anomaly Detection Framework in Pythoncs.LG

PySAD offers a unified Python framework for efficient streaming anomaly detection.

problem Efficient anomaly detection in streaming data with strict constraints.

method Unified architecture with 17+ streaming algorithms, specialized components, and support for multiple learning paradigms.

result PySAD enables real-time processing with bounded memory and is compatible with other Python frameworks.

streaming anomaly detection Python framework bounded memory single-pass processing univariate multivariate streams

2020-09-05abs ↗pdf ↗

Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with 'nonconform'stat.ML

Python package 'nonconform' simplifies conformal anomaly detection.

problem Heuristic thresholding in anomaly detection systems.

method 'nonconform' package converts anomaly scores into calibrated p-values.

result Statistically principled anomaly detection is made accessible.

anomaly detection Python conformal scikit-learn p-values

2026-05-13abs ↗pdf ↗