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LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  • singan
  • gan
  • official
  • single-image

An #OSINT Framework to perform various recon techniques on Companies, People, Phone Number, Bitcoin Addresses, etc., aggregate all the raw data, and give data in multiple formats.

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