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vectorization

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VectorizedMultiAgentSimulator

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

  • Updated Apr 26, 2024
  • Python

⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.

  • Updated Nov 21, 2023
  • PHP

This is a paint.net filetype plugin for loading SVG (Scalable Vector Graphics) and its compressed variant SVGZ files. SVG files can be rendered as a flat image or each element/group on a separate layer. This plugin also provides basic image tracing (raster to vector conversion) functionality which works best with black and white drawings.

  • Updated Aug 10, 2023
  • C#

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