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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

AI Agent Identity and Access Management and Inference Firewall

  • agent-identity
  • ai-audit
  • ai-firewall
  • ai-gateway

Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)

  • ai-text-detection
  • explainable-ai
  • interpretability
  • mechanistic-interpretability

Low-latency local speech-to-speech voice assistant with Ming-3.0-audio-tiny on AMD and Nvidia GPUs. Easy setup on Windows and Linux

  • amd
  • local-llm
  • radeon
  • realtime

Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"

  • audio
  • audio-classification
  • audio-processing
  • audio-tagging

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

  • trajectory-optimization
  • differential-dynamic-programming
  • theano
  • dynamics-models

TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.