🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jul 12, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
💫 Industrial-strength Natural Language Processing (NLP) in Python
An Open-Source Framework for Prompt-Learning.
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Underthesea - Vietnamese NLP Toolkit
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
Thai Natural Language Processing in Python.
skweak: A software toolkit for weak supervision applied to NLP tasks
Japanese morphological analysis engine written in pure Python
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.
📦 快速转化「中文数字」和「阿拉伯数字」~ (最新特性:分数,日期、温度等转化)
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Mor…
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