awesome-repositories.com
المدونة
MCP
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعخادم MCPحولكيفية ترتيب النتائجالصحافة
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

7 مستودعات

Awesome GitHub RepositoriesTokenization Pipelines

Sequential processing pipelines that normalize, stem, and filter raw text into searchable tokens.

Distinct from Text Tokenization: Broadens simple text tokenization to a configurable pipeline including stop-word removal and stemming.

Explore 7 awesome GitHub repositories matching artificial intelligence & ml · Tokenization Pipelines. Refine with filters or upvote what's useful.

Awesome Tokenization Pipelines GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • olivernn/lunr.jsالصورة الرمزية لـ olivernn

    olivernn/lunr.js

    9,203عرض على GitHub↗

    lunr.js is a JavaScript full-text search library and client-side search engine. It creates in-memory search indexes for fast keyword retrieval and ranked document matching within browser or Node.js environments. The library utilizes a JSON serializable search index, allowing the search structure to be converted to and from JSON for storage and distribution of pre-built search data. This enables search functionality for static websites by indexing content into portable files. The system supports advanced querying capabilities, including fuzzy text matching to account for typos, field-scoped i

    Utilizes a pipeline-based tokenization process to normalize text, stem words, and remove stop words before indexing.

    JavaScript
    عرض على GitHub↗9,203
  • vespa-engine/vespaالصورة الرمزية لـ vespa-engine

    vespa-engine/vespa

    6,961عرض على GitHub↗

    Vespa is a distributed search engine, vector database, and machine learning ranking engine. It serves as an AI search platform designed to handle large-scale document indexing and complex query processing across a cluster of nodes, combining keyword retrieval with high-dimensional embedding storage for semantic similarity search. The platform distinguishes itself by integrating machine learning models directly into the search pipeline to perform real-time inference and ranking. It converts these models into ranking expressions to score and order results based on relevance, while providing a s

    Provides configurable tokenization pipelines including normalization, stemming, and stop-word removal to prepare text for search indexing.

    Java
    عرض على GitHub↗6,961
  • lucaong/minisearchالصورة الرمزية لـ lucaong

    lucaong/minisearch

    5,804عرض على GitHub↗

    Accepts custom tokenizers and term processors for controlling text splitting and normalization during indexing and search.

    TypeScriptautocompleteautosuggestionedge-computing
    عرض على GitHub↗5,804
  • zombodb/zombodbالصورة الرمزية لـ zombodb

    zombodb/zombodb

    4,730عرض على GitHub↗

    Zombodb is a database extension and relational data indexer that integrates PostgreSQL with Elasticsearch. It provides a SQL search interface, allowing users to execute complex search queries and aggregations using standard SQL functions and syntax instead of native JSON APIs. The project synchronizes relational data from PostgreSQL to a remote search engine to enable high-performance full-text search and analytics. The system distinguishes itself by bridging relational structures with search engine capabilities, specifically through geospatial search integration for geometry and geography ty

    Evaluates how custom analysis pipelines and tokenizers process text before it is applied to a search index.

    PLpgSQL
    عرض على GitHub↗4,730
  • whisperspeech/whisperspeechالصورة الرمزية لـ WhisperSpeech

    WhisperSpeech/WhisperSpeech

    4,617عرض على GitHub↗

    WhisperSpeech هو نظام تحويل الكلام إلى نص متعدد اللغات ونظام تحويل النص إلى كلام عصبي. يعمل عن طريق عكس بنية نموذج Whisper لتحويل النص إلى صوت اصطناعي عالي الدقة. يتيح النظام استنساخ الصوت باستخدام ملفات صوتية مرجعية لتقليد متحدثين محددين. يدعم إنتاج الكلام متعدد اللغات، والذي يتضمن القدرة على توليد الصوت عبر لغات مختلفة والتعامل مع تبديل اللغة داخل جملة واحدة. يغطي المشروع مجموعة واسعة من قدرات الكلام، بما في ذلك توليد النص إلى كلام وإعداد مجموعة بيانات الكلام. يتضمن أدوات لنسخ الكلام إلى نص، واستخراج الرموز الصوتية، واكتشاف نشاط الصوت.

    Ships a multi-stage pipeline that separates linguistic and sonic features via semantic and acoustic tokenization.

    Jupyter Notebookpytorchspeech-synthesistts
    عرض على GitHub↗4,617
  • kevinwang676/bark-voice-cloningالصورة الرمزية لـ KevinWang676

    KevinWang676/Bark-Voice-Cloning

    2,957عرض على GitHub↗

    Bark Voice Cloning is a text-to-speech synthesis engine designed to generate natural-sounding audio and replicate specific vocal characteristics. The system utilizes a transformer-based autoregressive model to convert written text into high-fidelity speech, supporting multilingual output and expressive delivery. The project distinguishes itself through zero-shot voice cloning, which extracts speaker identity embeddings from short audio samples to condition the generative model without requiring extensive fine-tuning. It also provides specialized workflows for voice identity conversion, allowi

    Converts high-level linguistic representations into fine-grained acoustic codes that capture speech nuances.

    Jupyter Notebook
    عرض على GitHub↗2,957
  • dllxw/baby-llama2-chineseالصورة الرمزية لـ DLLXW

    DLLXW/baby-llama2-chinese

    2,891عرض على GitHub↗

    This project is a training pipeline and framework for developing Chinese language models based on the Llama 2 architecture. It functions as a distributed GPU trainer and dataset preprocessing toolkit designed for both the initial pre-training of baseline models and subsequent supervised fine-tuning. The system distinguishes itself through a specialized workflow for Chinese text, incorporating a data curation pipeline that uses similarity hashing for deduplication and a tokenization process that converts raw text into memory-mapped binary files for efficient disk access. It implements a superv

    Implements a sequential pipeline that converts raw text into binary, memory-mapped formats for training.

    Python
    عرض على GitHub↗2,891
  1. Home
  2. Artificial Intelligence & ML
  3. Natural Language Processing
  4. Text Tokenization
  5. Tokenization Pipelines

استكشف الوسوم الفرعية

  • Acoustic Token PipelinesPipelines that transform text into semantic and then acoustic tokens to isolate linguistic and sonic features. **Distinct from Tokenization Pipelines:** Distinct from Tokenization Pipelines: specifically handles the transition from semantic to acoustic tokens for speech synthesis.
  • Customizable PipelinesApplies user-defined tokenizers and term processors to control text splitting and normalization during indexing and search. **Distinct from Tokenization Pipelines:** Distinct from Tokenization Pipelines: allows user-provided tokenizers and term processors, not a fixed pipeline.
  • Tokenization TestingUtilities to evaluate how text analyzers break down raw text into tokens before indexing. **Distinct from Tokenization Pipelines:** Focuses on testing the analyzer's output for correctness, while the parent refers to the operational pipelines themselves.