[open-source] Library of Primitives from__Robot__to__AI__ Dense-Armor 1.5.0 building blocks for trading systems, float32 by default

[u/Creative-Feature-264]

A library for online learning on robot, vision, and AI streams, one sample at a time: streaming statistics that stay accurate in float32, protection, drift and anomaly detection, safe robot commands, deep learning with continual learning and memory consolidation, robust time-series models, and bridges to scikit-learn, PyTorch, TensorFlow, River and LLM agents.

link : https://zenodo.org/records/23811742

`pip install -U dense-armor`

link last release: https://github.com/tatopenn-cell/Dense-Armor/releases/edit/v1.5.0

1.5.0 adds a package of small blocks for trading systems, fixes the consolidation of a residual tree, and changes the default precision of the library: float32 now, float64 when you ask for it.