awesome-repositories.comCategoriiBlog
MCP
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectServer MCPDespreCum realizăm clasamentulPresă
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
M

modelscope/easydistill

0
View on GitHub↗
0 stele·0 fork-uri·2 vizualizări

Easydistill

Features

  • Data Processing - Framework for knowledge distillation in large models.
  • Data Processing Tools - Framework for knowledge distillation in large models.

Istoric stele

Graficul istoricului de stele pentru modelscope/easydistillGraficul istoricului de stele pentru modelscope/easydistill

Căutare AI

Explorează mai multe repository-uri excelente

Descrie ce ai nevoie în limbaj simplu — AI-ul sortează mii de proiecte open source selectate în funcție de relevanță.

Start searching with AI

Întrebări frecvente

Care sunt principalele funcționalități ale modelscope/easydistill?

Principalele funcționalități ale modelscope/easydistill sunt: Data Processing, Data Processing Tools.

Care sunt câteva alternative open-source pentru modelscope/easydistill?

Alternativele open-source pentru modelscope/easydistill includ: jpmens/jo — Jo is a command-line utility designed to construct and manipulate JSON objects and arrays directly from shell… catchthetornado/pdf-extract-api. 599yongyang/datasetloom. allenai/olmocr — Olmocr is a distributed document processing framework designed to convert PDF and image files into structured… bytedance/dolphin — Dolphin is a multimodal layout analyzer and image-to-structure converter that transforms photographed or digital… argilla-io/distilabel — Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable…

Alternative open-source pentru Easydistill

Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Easydistill.
  • jpmens/joAvatar jpmens

    jpmens/jo

    4,868Vezi pe GitHub↗

    Jo is a command-line utility designed to construct and manipulate JSON objects and arrays directly from shell arguments and standard input. It functions as a data processing tool that transforms raw input into structured formats, enabling the generation of complex payloads for APIs, configuration files, and automated data pipelines. The tool distinguishes itself through its ability to resolve hierarchical data structures using delimiter-based path definitions and its integrated type-inference engine, which automatically casts input values into native boolean, numeric, or null types. Users can

    C
    Vezi pe GitHub↗4,868
  • argilla-io/distilabelAvatar argilla-io

    argilla-io/distilabel

    3,277Vezi pe GitHub↗

    Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

    Python
    Vezi pe GitHub↗3,277
  • 599yongyang/datasetloom5

    599yongyang/DatasetLoom

    0Vezi pe GitHub↗
    Vezi pe GitHub↗0
  • allenai/olmocrAvatar allenai

    allenai/olmocr

    17,396Vezi pe GitHub↗

    Olmocr is a distributed document processing framework designed to convert PDF and image files into structured markdown. It functions as a vision-based document parser that utilizes multimodal neural networks to interpret complex visual layouts and translate them into standardized text representations. The system operates as a remote inference orchestrator, offloading heavy document analysis tasks to external servers or cloud APIs to minimize local computational requirements. By employing a stateless worker architecture, it decouples document ingestion from inference, allowing for the distribu

    Python
    Vezi pe GitHub↗17,396
Vezi toate cele 30 alternative pentru Easydistill→