🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jul 16, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
A curated list of resources dedicated to Python libraries, LLMs, dictionaries, and corpora of NLP for Japanese
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
Taiwanese Hokkien Transliterator and Tokeniser
💫 Industrial-strength Natural Language Processing (NLP) in Python
A Topic Modeling System Toolkit
✍ 🗣 A Text-To-Conversation natural language processing toolkit [WIP].
Natural Language Processing (NLP) techniques and implementations using Python and popular libraries like NLTK, spaCy, and Transformers.
A sentence splitting (sentence boundary disambiguation) library for Go. It is rule-based and works out-of-the-box.
An open source NLP library based on MindSpore
Taiwanese Hokkien Transliterator and Tokeniser
A Japanese Tokenizer for Business
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
In today's digital age, misinformation spreads rapidly, significantly impacting public perception and decision-making. This project employs word embeddings using spaCy to effectively distinguish between fake and real news, enhancing the accuracy of information verification and contributing to the fight against misinformation. 📰🔍💡
Este projeto mostra análise de sentimento em tempo real usando NLTK e Python para mensagens.
A PyPI package for augmenting text data using NLP techniques directly in your pandas dataframe.
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