KashgariKashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Stars: ✭ 2,235 (+1262.8%)
Pytorch-NLUPytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…
Stars: ✭ 151 (-7.93%)
bert-tensorflow-pytorch-spacy-conversionInstructions for how to convert a BERT Tensorflow model to work with HuggingFace's pytorch-transformers, and spaCy. This walk-through uses DeepPavlov's RuBERT as example.
Stars: ✭ 26 (-84.15%)
vietnamese-robertaA Robustly Optimized BERT Pretraining Approach for Vietnamese
Stars: ✭ 22 (-86.59%)
FinBERT-QAFinancial Domain Question Answering with pre-trained BERT Language Model
Stars: ✭ 70 (-57.32%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: ✭ 23 (-85.98%)
fairseq-tagginga Fairseq fork for sequence tagging/labeling tasks
Stars: ✭ 26 (-84.15%)
KoBERT-nsmcNaver movie review sentiment classification with KoBERT
Stars: ✭ 57 (-65.24%)
CoronaXivFirst Prize in HackJaipur Hackathon 2020 for Best ElasticSearch-based Product! Website: http://coronaxiv2.surge.sh/#/
Stars: ✭ 15 (-90.85%)
MobileQA离线端阅读理解应用 QA for mobile, Android & iPhone
Stars: ✭ 49 (-70.12%)
bert experimentalcode and supplementary materials for a series of Medium articles about the BERT model
Stars: ✭ 72 (-56.1%)
use-cases-of-bertUse-cases of Hugging Face's BERT (e.g. paraphrase generation, unsupervised extractive summarization).
Stars: ✭ 18 (-89.02%)
bangla-bertBangla-Bert is a pretrained bert model for Bengali language
Stars: ✭ 41 (-75%)
LightLM高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task
Stars: ✭ 54 (-67.07%)
Medi-CoQAConversational Question Answering on Clinical Text
Stars: ✭ 22 (-86.59%)
knowledge-graph-nlp-in-action从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
Stars: ✭ 58 (-64.63%)
FinBERTA Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
Stars: ✭ 193 (+17.68%)
text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
Stars: ✭ 15 (-90.85%)
syntaxdotNeural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
Stars: ✭ 32 (-80.49%)
bert sabert sentiment analysis tensorflow serving with RESTful API
Stars: ✭ 35 (-78.66%)
policy-data-analyzerBuilding a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
Stars: ✭ 22 (-86.59%)
MengziMengzi Pretrained Models
Stars: ✭ 238 (+45.12%)
NSP-BERTThe code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Stars: ✭ 166 (+1.22%)
bert-as-a-service TFXEnd-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
Stars: ✭ 32 (-80.49%)
TorchBlocksA PyTorch-based toolkit for natural language processing
Stars: ✭ 85 (-48.17%)
semantic-document-relationsImplementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"
Stars: ✭ 21 (-87.2%)
textgoText preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!
Stars: ✭ 33 (-79.88%)
VideoBERTUsing VideoBERT to tackle video prediction
Stars: ✭ 56 (-65.85%)
ALBERT-PytorchPytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)
Stars: ✭ 214 (+30.49%)
iamQA中文wiki百科QA阅读理解问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署
Stars: ✭ 46 (-71.95%)
robo-vlnPytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
Stars: ✭ 34 (-79.27%)
mcQA🔮 Answering multiple choice questions with Language Models.
Stars: ✭ 23 (-85.98%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-87.8%)
KARENKAREN: Unifying Hatespeech Detection and Benchmarking
Stars: ✭ 18 (-89.02%)
cdQA-ui⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.
Stars: ✭ 19 (-88.41%)
bernA neural named entity recognition and multi-type normalization tool for biomedical text mining
Stars: ✭ 151 (-7.93%)
MSR2021-ProgramRepairCode of our paper Applying CodeBERT for Automated Program Repair of Java Simple Bugs which is accepted to MSR 2021.
Stars: ✭ 26 (-84.15%)
KLUE📖 Korean NLU Benchmark
Stars: ✭ 420 (+156.1%)
WSDM-Cup-2019[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.
Stars: ✭ 62 (-62.2%)
keras-bert-nerKeras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT
Stars: ✭ 7 (-95.73%)
Filipino-Text-BenchmarksOpen-source benchmark datasets and pretrained transformer models in the Filipino language.
Stars: ✭ 22 (-86.59%)
OpenDialogAn Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统,一键部署微信闲聊机器人)
Stars: ✭ 94 (-42.68%)
golgothaContextualised Embeddings and Language Modelling using BERT and Friends using R
Stars: ✭ 39 (-76.22%)
classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: ✭ 61 (-62.8%)
DocProductMedical Q&A with Deep Language Models
Stars: ✭ 527 (+221.34%)