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  • 1
    claude-real-video

    claude-real-video

    Let Claude (or any LLM) actually watch a video

    ...Instead of sampling at a fixed interval, it detects scene changes and removes near-duplicate frames to reduce unnecessary token usage. It can transcribe audio, generate a clean output folder, and create a local viewer with the video, keyframe grid, and transcript. The tool can also be installed as a Claude Code skill so an agent can process videos more directly. It is useful for reviewing screen recordings, summarizing visual content, analyzing tutorials, and turning video into LLM-readable context.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    Bespoke Curator

    Bespoke Curator

    Synthetic data curation for post-training and data extraction

    Curator is an open-source Python library designed to build synthetic data pipelines for training and evaluating machine learning models, particularly large language models. The system helps developers generate, transform, and curate high-quality datasets by combining automated generation with structured validation and filtering. It supports workflows where models are used to produce synthetic examples that can later be refined into reliable training datasets for reasoning, question...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Automated Interpretability

    Automated Interpretability

    Code for Language models can explain neurons in language models paper

    ...“this neuron activates when the input has property X”) and then simulates activation behavior across example inputs to test whether the explanation holds. The project also contains a “neuron viewer” web component for browsing neurons, explanations, and activation patterns, making it more interactive and exploratory.
    Downloads: 0 This Week
    Last Update:
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