AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
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Updated
Nov 15, 2023 - Python
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
A Simple but Powerful SOTA NER Model | Official Code For Label Supervised LLaMA Finetuning
Transformer-based models implemented in tensorflow 2.x(using keras).
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
A collection of datasets for Ukrainian language
Unofficial (Golang) Go bindings for the Hugging Face Inference API
Token classification using Phobert Models for Vietnamese
Implementation of the paper, MAPLE - MAsking words to generate blackout Poetry using sequence-to-sequence LEarning, ICNLSP 2021
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
bullet: A Zero-Shot / Few-Shot Learning, LLM Based, text classification framework
Multi-task NLP Annotation Framework
Generative adversarial approach to most popular NLP tasks
The Learning Agency Lab - PII Data Detection || Develop automated techniques to detect and remove PII from educational data.
MAPLEv2 - Multi-task Approach for generating blackout Poetry with Linguistic Evaluation
Identify if each of the words in a Persian sentence need a kasr-e-ezafeh tag or not.
An NLP Java Application that detects Names, organizations, and locations in a text by running Hugging face's Roberta NER model using ONNX runtime and Deep Java Library.
Building a multilingual NER app with HuggingFace, Gradio and Comet
Fine tuning 🤗 transformer model for softskill NER task
End-to-end pipeline for (1) automatic scraping and parsing of NLP research papers, (2) token-level entity annotations in Label Studio, and (3) BERT-based models for span identification and entity recognition
A state-of-the-art Arabic part-of-speech tagger leveraging the XLMR transformer model With an impressive testing accuracy of 97.49% and a remarkable testing F1-score of 96.44% on the Arabic UD Treebank.
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