hierarchical-domain-adaptation VS trankit

Compare hierarchical-domain-adaptation vs trankit and see what are their differences.

hierarchical-domain-adaptation

Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper. (by alexandra-chron)
Adapters Clustering domain-adaptation gaussian-mixture-models NLP pretrained-language-model Pytorch
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aclanthology.org
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trankit

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing (by nlp-uoregon)
NLP Natural Language Processing Pytorch language-model xlm-roberta Machine Learning Deeplearning Artificial intelligence universal-dependencies Multilingual Adapters sentence-segmentation Tokenization part-of-speech-tagging morphological-tagging dependency-parsing lemmatization
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hierarchical-domain-adaptation trankit
1 1
32 707
- -
3.0 5.7
8 months ago 23 days ago
Python Python
- Apache License 2.0
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hierarchical-domain-adaptation

Posts with mentions or reviews of hierarchical-domain-adaptation. We have used some of these posts to build our list of alternatives and similar projects.

trankit

Posts with mentions or reviews of trankit. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing hierarchical-domain-adaptation and trankit you can also consider the following projects:

pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

LLM-Adapters - Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

wiktextract - Wiktionary dump file parser and multilingual data extractor

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)

Sentimentanalysis - Language independent sentiment analysis

quantulum3 - Library for unit extraction - fork of quantulum for python3

lemmatization-lists - Machine-readable lists of lemma-token pairs in 23 languages.

hierarchical-domain-adaptation vs pytorch-adapt trankit vs spaCy hierarchical-domain-adaptation vs pykale trankit vs Stanza hierarchical-domain-adaptation vs LLM-Adapters trankit vs transformers trankit vs argilla trankit vs wiktextract trankit vs flair trankit vs Sentimentanalysis trankit vs quantulum3 trankit vs lemmatization-lists