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#

research-implementation

Here are 116 public repositories matching this topic...

chromaVive turns grayscale images into vibrant, colorized versions using advanced deep learning inspired by Richard Zhang's research at UC Berkeley. Powered by models from the ECCV16 and SIGGRAPH17 papers, chromaVive advances the art of image colorization.

  • Updated Sep 14, 2025
  • Jupyter Notebook

End-to-End Python implementation of CompactPrompt (Choi et al., 2025): a unified pipeline for LLM prompt and data compression. Features modular compression pipeline with dependency-driven phrase pruning, reversible n-gram encoding, K-means quantization, and embedding-based exemplar selection. Achieves 2-4x token reduction while preserving accuracy.

  • Updated Nov 30, 2025
  • Jupyter Notebook

End-to-End Python implementation of Semantic Divergence Metrics (SDM) for LLM hallucination detection. Uses ensemble paraphrasing, joint embedding clustering, and information-theoretic measures (JSD, KL divergence, Wasserstein distance) to quantify prompt-response semantic consistency. Based on Halperin (2025).

  • Updated Aug 15, 2025
  • Jupyter Notebook

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