1.openai / tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
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24 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Open-source offline translation library written in Python
💫 Industrial-strength Natural Language Processing (NLP) in Python
TranslatedJieba (结巴, "stutter") Chinese word segmentation
TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
NLTK Source
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Topic Modelling for Humans
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
TranslatedChinese characters to pinyin converter (pypinyin)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
Seamlessly integrate LLMs into scikit-learn.
An open-source NLP research library, built on PyTorch.
Module for automatic summarization of text documents and HTML pages.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Models, data loaders and abstractions for language processing, powered by PyTorch
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.