quantulum3
trankit
quantulum3 | trankit | |
---|---|---|
1 | 1 | |
130 | 707 | |
- | - | |
4.6 | 5.7 | |
20 days ago | 19 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
quantulum3
trankit
-
Trankit v1.0.0 - An open-source Transformer-based Multilingual NLP Toolkit for 56 languages is out.
Trankit is written in Python and can be easily installed via pip. Our code and pretrained models are publicly available at: https://github.com/nlp-uoregon/trankit
What are some alternatives?
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
scinumtools - Essential tools for numerical scientific calculations, simulations and data analysis. Besides several useful tools, this package is featuring expression solver, physical units, material properties and dimensional input parameter modules.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mycroft-core - Mycroft Core, the Mycroft Artificial Intelligence platform.
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
Ciphey - âš¡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes âš¡
wiktextract - Wiktionary dump file parser and multilingual data extractor
barril - Python package to manage units for physical quantities
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)