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289–312 of 827 · Most stars

An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes files for quick, seamless access and easy retrieval.

  • file-organizer
  • llm
  • on-device-ai
  • vlm

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  • segmentation
  • semantic-segmentation
  • cityscapes
  • pascal-context

KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.

[IROS 2025 Best Paper Award Finalist & IEEE TRO 2026] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

  • robotic-manipulation
  • vision-language-action-model
  • pretraining-for-robotics
  • robotic-foundation-model

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

  • webdataset
  • webdataset-format
  • data-augmentation
  • pytorch

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.