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Haystack ⭐ 12,474

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Paddlenlp ⭐ 10,908

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

Nlp_chinese_corpus ⭐ 8,344

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Spark Nlp ⭐ 3,578

State of the Art Natural Language Processing

Rust Bert ⭐ 2,300

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Llmware ⭐ 1,859

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Spago ⭐ 1,691

Self-contained Machine Learning and Natural Language Processing library in Go

Shift Ctrl F ⭐ 887

🔎 Search the information available on a webpage using natural language instead of an exact string match.

Awesome Qa ⭐ 752

😎 A curated list of the Question Answering (QA)

Primeqa ⭐ 677

The prime repository for state-of-the-art Multilingual Question Answering research and development.

Happy Transformer ⭐ 449

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

Tensorflow Nlp Tutorial ⭐ 432

tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT와 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

Bertwithpretrained ⭐ 428

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Node Question Answering ⭐ 418

Fast and production-ready question answering in Node.js

Cmrc2018 ⭐ 313

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

Backprop ⭐ 239

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Cybertron ⭐ 235

Cybertron: the home planet of the Transformers in Go

Bert Squad ⭐ 217

SQuAD Question Answering Using BERT, PyTorch

Bertqa Attention On Steroids ⭐ 105

BertQA - Attention on Steroids

Bert Dureader ⭐ 93

使用BERT解决lic2019机器阅读理解

Cmrc2019 ⭐ 90

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)

Bert Vietnamese Question Answering ⭐ 87

Vietnamese question answering system with BERT

Bert For Chinese Question Answering ⭐ 77

Odqa_baseline_code ⭐ 71

Baseline code for Korean open domain question answering(ODQA)

Turkish Reading Comprehension Question Answering Dataset ⭐ 65

Turkish-Reading-Comprehension-Question-Answering-D

Transformers Keras ⭐ 61

Transformer-based models implemented in tensorflow 2.x(using keras).

Kitanaqa ⭐ 47

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Nlp_notebooks ⭐ 46

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

Turkish Bert Nlp Pipeline ⭐ 44

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Finbert Qa ⭐ 39

Financial Domain Question Answering with pre-trained BERT Language Model

Bert Qna Squad_2.0_finetuned_model ⭐ 38

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

吹逼我们是认真的

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

KorQuAD (Korean Question Answering Dataset) submission guide using PyTorch pretrained BERT

Squad2.q Augmented Dataset ⭐ 19

Augmented version of SQUAD 2.0 for Questions

Medi Coqa ⭐ 17

Conversational Question Answering on Clinical Text

COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"

🔮 Answering multiple choice questions with Language Models.

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

Indobert Qa ⭐ 12

indoBERT Base-Uncased fine-tuned on Translated Squad v2.0

Predicting Subjective Features On Qa Websites ⭐ 11

Paper: "Predicting Subjective Features from Questions on QA Websites using BERT"

Donkeybot ⭐ 11

🤖 Question Answering Bot for Rucio User Support (GSoC Project)

Kobert Korquad ⭐ 9

Korean MRC (KorQuAD) with KoBERT

Distilledneuralresponseranker ⭐ 9

Implementation of "Distilling Knowledge for Fast Retrieval-based Chat-bots" (SIGIR 2020) using deep matching transformer networks and knowledge distillation for response retrieval in information-seeking conversational systems.

预训练模型知识量度量竞赛 Baseline F1 0.35 BERTForMaskedLM

Qa_voicebot_desktop_application ⭐ 7

end-to-end voicebot that answers open domain questions.

Generate SQUAD style dataset from raw text file and train a transformer based question answering model .This repo has code from https://github.com/facebookresearch/UnsupervisedQA and https://github.com/deepset-ai/haystack

MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages - Accepted at ACL 2022 Workshop

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