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3 个仓库

Awesome GitHub RepositoriesExtraction Pipeline Execution

Runtime environments that manage the scheduling, execution, and monitoring of data extraction tasks.

Explore 3 awesome GitHub repositories matching data & databases · Extraction Pipeline Execution. Refine with filters or upvote what's useful.

Awesome Extraction Pipeline Execution GitHub Repositories

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  • deepfakes/faceswapdeepfakes 的头像

    deepfakes/faceswap

    55,289在 GitHub 上查看↗

    Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users to map facial identities between source and destination datasets while maintaining structural alignment and lighting consistency across video frames. The project distinguishes itself through a highly extensible plugin-based architecture that handles hardware-accelerated process

    Supervises the runtime execution and monitoring of data extraction tasks across the processing pipeline.

    Pythondeep-face-swapdeep-learningdeep-neural-networks
    在 GitHub 上查看↗55,289
  • mystenlabs/suiMystenLabs 的头像

    MystenLabs/sui

    7,612在 GitHub 上查看↗

    Sui is a blockchain platform featuring an object-centric state model and resource-oriented smart contracts. It utilizes parallel transaction execution to increase network throughput and supports programmable transaction blocks that bundle multiple operations into single atomic units. The platform distinguishes itself with a capability-based access control system and zero-knowledge login mechanisms, enabling users to authenticate via identity providers without seed phrases. It also implements deterministic object addressing to allow predictable state lookups and supports the creation of soulbo

    Executes specific data processing pipelines to isolate workloads for testing purposes.

    Rustblockchaindistributed-ledger-technologymove
    在 GitHub 上查看↗7,612
  • yifanfeng97/hyper-extractyifanfeng97 的头像

    yifanfeng97/Hyper-Extract

    1,242在 GitHub 上查看↗

    Hyper-Extract is a framework designed for automated knowledge extraction, graph construction, and retrieval-augmented generation. It functions as a command-line tool that transforms unstructured text into structured knowledge graphs and hypergraphs, enabling users to build interconnected, searchable, and machine-readable data repositories from their documents. The system distinguishes itself through its focus on personal knowledge management and incremental processing. It allows users to update existing knowledge bases by processing only new document deltas, avoiding redundant computation. Th

    Executes document processing tasks via command-line or programmatic interfaces to automate complex extraction workflows.

    Pythonaiai-agentscli
    在 GitHub 上查看↗1,242
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