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889–912 of 1,660 · Most stars

Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

  • semantic-segmentation
  • lidar
  • semantickitti
  • 3d-lidar-data

Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”