Showing 3 open source projects for "data recovery"

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    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: 5 This Week
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    Open Gauss

    Open Gauss

    Project-scoped Lean workflow orchestrator from Math, Inc.

    Open Gauss is an enterprise-grade open-source relational database management system designed to handle large-scale data processing with high performance, reliability, and security. It is based on the PostgreSQL ecosystem but significantly extends its capabilities through architectural optimizations, AI-driven features, and enterprise-level enhancements. The database organizes data using the relational model, storing structured information in tables composed of rows and columns while...
    Downloads: 2 This Week
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  • 3
    VGGT

    VGGT

    [CVPR 2025 Best Paper Award] VGGT

    ...The repo provides inference pipelines to estimate geometry from monocular inputs, stereo pairs, or brief sequences, together with evaluation harnesses for common geometry benchmarks. Training utilities highlight data curation and augmentations that preserve geometric cues while improving generalization across scenes and cameras.
    Downloads: 0 This Week
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