Showing 5 open source projects for "python ids"

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  • 1
    AI Pose Gallery

    AI Pose Gallery

    Chinese version of AI pose reference gallery

    AI Pose Gallery zh is an open-source, Chinese-language reference gallery for AI image generation, 3D modeling, illustration, and photography. It contains 1,439 pose references with matching thumbnails and full-resolution images. The collection organizes poses into four major groups, 26 categories, and 288 named poses. Users can search by pose name, identifier, or category and filter results by camera angle. Five viewing perspectives include front, angled, side, overhead, and low-angle views....
    Downloads: 25 This Week
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  • 2
    Tiktoken

    Tiktoken

    tiktoken is a fast BPE tokeniser for use with OpenAI's models

    ...Internally, it includes the core tokenizer logic (often implemented in Rust or efficient lower-level code), APIs for encoding, decoding, and counting tokens, and binding layers to Python (and sometimes other languages) for easy use.
    Downloads: 4 This Week
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  • 3
    MiniOneRec

    MiniOneRec

    Minimal reproduction of OneRec

    MiniOneRec is an open-source framework designed to explore generative approaches to recommendation systems using large language model architectures. Traditional recommender systems typically rely on large embedding tables and ranking models, but MiniOneRec adopts a generative paradigm in which items are represented as sequences of semantic identifiers generated by autoregressive models. The framework provides an end-to-end pipeline for building generative recommender systems, including...
    Downloads: 0 This Week
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  • 4
    minbpe

    minbpe

    Minimal, clean code for the Byte Pair Encoding (BPE) algorithm

    minbpe is a minimal, clean implementation of byte-level Byte Pair Encoding (BPE), the tokenization approach widely used in modern language models. It operates on UTF-8 encoded bytes rather than Unicode characters, which makes it robust to arbitrary text inputs and avoids needing a language-specific character vocabulary. The repository is structured as a teaching-oriented implementation that shows how to train a tokenizer by learning merge rules, then apply those merges to encode text into...
    Downloads: 0 This Week
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  • 5
    PRM800K

    PRM800K

    800,000 step-level correctness labels on LLM solutions to MATH problem

    PRM800K is a process supervision dataset accompanying the paper Let’s Verify Step by Step, providing 800,000 step-level correctness labels on model-generated solutions to problems from the MATH dataset. The repository releases the raw labels and the labeler instructions used in two project phases, enabling researchers to study how human raters graded intermediate reasoning. Data are stored as newline-delimited JSONL files tracked with Git LFS, where each line is a full solution sample that...
    Downloads: 0 This Week
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