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[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.

1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

  • 3d-object-detection
  • lidar-point-cloud
  • bevmap
  • center

FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.

  • accuracy-decline
  • ai-safety
  • audit-trail
  • fact-checking

This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.

Measuring synchronisation timing accuracy for DVB Compainion Screen Synchronisation TVs and Companions

  • hbbtv2
  • dvbcss
  • dvb-protocols
  • dvb-css

The application allows you to trade on the outcomes of events, and follow the odds to garner accurate insights about the future. Users buy or sell Voting Shares, which can be redeemed for 1 unit of the stable asset if the outcome is resolved as correct, and become worthless if it’s incorrect.