awesome-repositories.com
Blog
awesome-repositories.com

Découvrez les meilleurs dépôts open-source grâce à notre recherche par IA.

ExplorerRecherches sélectionnéesAlternatives open sourceLogiciels auto-hébergésBlogPlan du site
ProjetÀ proposNotre méthodologiePresseServeur MCP
Mentions légalesConfidentialitéConditions d'utilisation
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

1 dépôt

Awesome GitHub RepositoriesStructural Hierarchy Analysis

Techniques for identifying significant structural elements and hierarchies within long documents.

Distinct from Document Classification: Focuses on the internal structural analysis of a document via attention, whereas Document Classification focuses on assigning a label to the whole document.

Explore 1 awesome GitHub repository matching data & databases · Structural Hierarchy Analysis. Refine with filters or upvote what's useful.

Awesome Structural Hierarchy Analysis GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • brightmart/text_classificationAvatar de brightmart

    brightmart/text_classification

    7,938Voir sur GitHub↗

    This project is a deep learning text classification framework and neural text analysis library. It provides tools for categorizing textual data, adapting large language models through fine-tuning, and treating classification tasks as sequence generation problems using transformer architectures. The framework distinguishes itself through the implementation of ensemble learning, using boosting to combine predictions from multiple architectures to increase accuracy. It also includes a toolkit for fine-tuning pre-trained models via layer updates and the ability to restore model sessions for real-

    Implements attention mechanisms and bidirectional units to identify significant words and sentences within long documents.

    Pythonattention-mechanismclassificationconvolutional-neural-networks
    Voir sur GitHub↗7,938
  1. Home
  2. Data & Databases
  3. Document Classification
  4. Structural Hierarchy Analysis