codefly13's repositories
active_learning_toolbox
Jupyter active learning annotator widget.
AlpacaTag
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)
awesome-neural-models-for-semantic-match
A curated list of papers dedicated to neural text (semantic) matching.
awesome-pretrained-chinese-nlp-models
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合
bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
CLUEDatasetSearch
搜索所有中文NLP数据集，附常用英文NLP数据集
ClusterTransformer
Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
cuad
CUAD (NeurIPS 2021)
CValues
面向中文大模型价值观的评估与对齐研究
dodrio
Exploring attention weights in transformer-based models with linguistic knowledge.
entity-recognition-datasets
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
Few-NERD
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
hierarchical-explanation-neural-sequence-models
Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
label_confusion_learning
Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"
Legal-Entity-Recognition
A Dataset of German Legal Documents for Named Entity Recognition
NLP-Interview-Notes
该仓库主要记录 NLP 算法工程师相关的面试题
nlp_paper_study
研读顶会论文，复现论文相关代码
OpenPrompt
An Open-Source Framework for Prompt-Learning.
P-tuning-v2
Source code and data for ACL 2022 paper "P-tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks"
PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
python-docx2txt
A pure python based utility to extract text and images from docx files.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
simple_mf
Simple but Flexible Recommendation Engine in PyTorch
stealth.min.js
提取出来的 stealth.js
surface_normal_uncertainty
(ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
TriggerNER
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)