Topic: question-answering Goto Github

Some thing interesting about question-answering

👇 Here are 1785 public repositories matching this topic...

alan-ai / alan-sdk-web

question-answering,Generative AI SDK for Web to create AI Agents for apps built with JavaScript, React, Angular, Vue, Ember, Electron

Organization: alan-ai

Home Page: https://alan.app/

voice-ai conversational-ai machine-learning ai-chat generative-ai ai ai-assistant ai-chat-bot custom-dataset enterprise

question-answering,Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

Organization: allenai

Home Page: http://allenai.github.io/bi-att-flow

squad nlp tensorflow question-answering bidaf

atfortes / awesome-llm-reasoning

question-answering,Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

User: atfortes

language-models reasoning prompt question-answering in-context-learning chatgpt chain-of-thought prompt-engineering cot awesome

baidu / anyq

question-answering,FAQ-based Question Answering System

Organization: baidu

qa-system semantic-matching faq faqbot faq-question-answering-system faq-system question-answering dialogue-systems dialogue

bdbc-kg-nlp / qa-survey-cn

question-answering,北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

Organization: bdbc-kg-nlp

survey nlp question-answering kbqa cqa qa-survey vqa tqa qa

brightmart / bert_language_understanding

question-answering,Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

User: brightmart

bert-model language-model attention-is-all-you-need transformer-encoder pre-training language-understanding text-classification document-classification self-attention transfer-learning nlp question-answering textcnn fasttext

brightmart / nlp_chinese_corpus

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

User: brightmart

chinese-dataset chinese-corpus pretrain word2vec nlp bert language-model wiki news question-answering

brylevkirill / notes

question-answering,Learn about Machine Learning and Artificial Intelligence

User: brylevkirill

artificial-intelligence machine-learning deep-learning reinforcement-learning bayesian-inference probabilistic-programming knowledge-representation reasoning causal-inference knowledge-graph

cdqa-suite / cdqa

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

Organization: cdqa-suite

Home Page: https://cdqa-suite.github.io/cdQA-website/

reading-comprehension question-answering deep-learning natural-language-processing information-retrieval bert artificial-intelligence nlp pytorch transformers

chatopera / insuranceqa-corpus-zh

question-answering,:helicopter: 保险行业语料库，聊天机器人

Organization: chatopera

Home Page: https://www.chatopera.com/

corpus chatbot qasystem natural-language-processing natural-language-understanding machine-learning dataset question-answering insurance insuranceqa-corpus-zh

decalogue / chat

question-answering,基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

User: decalogue

nlp question-answering context nlu natural-language-processing natural-language-understanding qa chat chatbot python

deeppavlov / deeppavlov

question-answering,An open source library for deep learning end-to-end dialog systems and chatbots.

Organization: deeppavlov

Home Page: https://deeppavlov.ai

bot nlp chatbot dialogue-systems question-answering chitchat slot-filling intent-classification entity-extraction named-entity-recognition

deepset-ai / farm

question-answering,:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Organization: deepset-ai

Home Page: https://farm.deepset.ai

language-models bert nlp deep-learning transfer-learning pytorch nlp-library nlp-framework xlnet-pytorch ner

deepset-ai / haystack

question-answering,:mag: 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.

Organization: deepset-ai

Home Page: https://haystack.deepset.ai

nlp question-answering bert language-model pytorch semantic-search squad information-retrieval summarization transformers

didi / chinesenlp

question-answering,Datasets, SOTA results of every fields of Chinese NLP

Organization: didi

Home Page: https://chinesenlp.xyz

nlp chinese-nlp machine-translation chinese-word-segmentation entity-linking question-answering nlp-tasks

google-research / tapas

question-answering,End-to-end neural table-text understanding models.

Organization: google-research

nlp-machine-learning question-answering table-parsing tensorflow

guillaume-be / rust-bert

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

User: guillaume-be

Home Page: https://docs.rs/crate/rust-bert

deep-learning nlp transformer bert rust-lang rust machine-learning ner sentiment-analysis question-answering language-generation gpt-2 roberta gpt bart electra translation

indexfziq / gnn4nlp-papers

question-answering,A list of recent papers about Graph Neural Network methods applied in NLP areas.

User: indexfziq

graph-neural-network natural-language-processing graph-convolutional-networks question-answering paperlist knowledge-graph knowledge-representation knowledge-based-systems graph-attention-network heterogeneous-graphs

intellabs / fastrag

question-answering,Efficient Retrieval Augmentation and Generation Framework

Organization: intellabs

nlp benchmark colbert information-retrieval semantic-search sentence-transformers summarization transformers diffusion knowledge-graph

johnsnowlabs / spark-nlp

question-answering,State of the Art Natural Language Processing

Organization: johnsnowlabs

Home Page: https://sparknlp.org/

nlp natural-language-processing spark pyspark named-entity-recognition sentiment-analysis lemmatizer spell-checker entity-extraction part-of-speech-tagger

ki6an / fastt5

question-answering,⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

User: ki6an

python t5 onnx onnxruntime quantization fastt5 nlp fast quantized-onnx-models translation

michiyasunaga / qagnn

question-answering,[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

User: michiyasunaga

Home Page: https://arxiv.org/abs/2104.06378

question-answering language-model graph-neural-networks knowledge-graph commonsense-reasoning biomedical-applications

microsoft / neuronblocks

question-answering,NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Organization: microsoft

question-answering deep-learning pytorch natural-language-processing text-classification artificial-intelligence dnn qna text-matching knowledge-distillation model-compression sequence-labeling

milvus-io / bootcamp

question-answering,Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Organization: milvus-io

Home Page: https://milvus.io

milvus unstructured-data benchmark-testing image-search audio-search question-answering deep-learning nlp image-classification image-recognition

model-zoo / shift-ctrl-f

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

Organization: model-zoo

Home Page: https://modelzoo.dev

tensorflow tensorflowjs bert question-answering chrome-extension natural-language unpacked-extension semantic-search

myhhub / knowledgegraph

question-answering,knowledge graph知识图谱,从零开始构建知识图谱

User: myhhub

knowledge-graph knowledge-management named-entity-recognition question-answering relation-extraction

nlpodyssey / spago

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

Organization: nlpodyssey

deep-learning machine-learning natural-language-processing neural-network computation-graph automatic-differentiation artificial-intelligence deeplearning transformer-architecture recurrent-networks

ntmc-community / awesome-neural-models-for-semantic-match

question-answering,A curated list of papers dedicated to neural text (semantic) matching.

Organization: ntmc-community

deep-learning semantic-matching neu-ir information-retrieval text-similarity question-answering

openbiolink / thoughtsource

question-answering,A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/

Organization: openbiolink

dataset machine-learning natural-language-processing question-answering reasoning

paddlepaddle / paddlenlp

question-answering,👑 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.

Organization: paddlepaddle

Home Page: https://paddlenlp.readthedocs.io

nlp embedding bert ernie paddlenlp pretrained-models transformers information-extraction question-answering search-engine

paddlepaddle / rocketqa

question-answering,🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

Organization: paddlepaddle

question-answering nlp information-retrieval dense-retrieval

pashpashpash / vault-ai

question-answering,OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.

User: pashpashpash

Home Page: https://vault.pash.city

chatgpt go golang knowledge-base long-term-memory machine-learning openai pdf-support pinecone question-answering

pchunduri6 / rag-demystified

question-answering,An LLM-powered advanced RAG pipeline built from scratch

User: pchunduri6

ai gpt llm question-answering chatgpt retrieval-augmented-generation vector-database rag

plexpt / chatgpt-corpus

question-answering,ChatGPT 中文语料库对话语料小说语料客服语料用于训练大模型

User: plexpt

Home Page: https://chat.aimakex.com/

corpus awesome corpus-data question-answering

primeqa / primeqa

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

Organization: primeqa

Home Page: https://primeqa.github.io/primeqa

ibm ibm-research-ai machine-learning natural-language-processing nlp python pytorch question-answering ai dpr

qq547276542 / agriculture_knowledgegraph

question-answering,农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

User: qq547276542

knowledge-graph named-entity-recognition relation-extraction question-answering

ramsrigouthamg / questgen.ai

question-answering,Question generation using state-of-the-art Natural Language Processing algorithms

User: ramsrigouthamg

Home Page: https://questgen.ai/

question-generation question-generator question-gen question-answering

rongweihe / cppnotes

question-answering,【C++ 面试 + C++ 学习指南】一份涵盖大部分 C++ 程序员所需要掌握的核心知识。

User: rongweihe

cpp pdf code guide interview interview-practice interview-questions question-answering questions-and-answers interview-preparation

sciphi-ai / r2r

question-answering,The Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.

Organization: sciphi-ai

Home Page: https://r2r-docs.sciphi.ai/

artificial-intelligence large-language-models retrieval-augmented-generation search question-answering retrieval-systems python rag

seriousran / awesome-qa

question-answering,😎 A curated list of the Question Answering (QA)

User: seriousran

question-answering nlp machine-comprehension awesome awesome-list squad bert watson deepqa

shaoxiongji / knowledge-graphs

question-answering,A collection of research on knowledge graphs

User: shaoxiongji

Home Page: https://shaoxiongji.github.io/knowledge-graphs/

commonsense cross-modal dialogue-systems information-retrieval knowledge-graph knowledge-graph-completion meta-relational-learning natural-language-processing ner paper question-answering reasoning recommendation-systems relation-extraction representation-learning survey temporal-knowledge-graph

simmerchan / kg-demo-for-movie

question-answering,从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

User: simmerchan

Home Page: https://zhuanlan.zhihu.com/knowledgegraph

knowledge-graph question-answering

sindresorhus / amas

question-answering,Awesome & Marvelous Amas

User: sindresorhus

ama ask-me-anything question-answering meta ask list awesome awesome-list

snakehacker / qa-snake

question-answering,基于多搜索引擎和深度学习技术的自动问答

User: snakehacker

question-answering

stoyan-stoyanov / llmflows

question-answering,LLMFlows - Simple, Explicit and Transparent LLM Apps

User: stoyan-stoyanov

Home Page: https://llmflows.readthedocs.io

ai llm llm-inference llmops llms machine-learning openai prompt-engineering question-answering vector-database

sylphai-inc / adalflow

question-answering,AdalFlow: The “PyTorch” library to auto-optimize any LLM tasks.

Organization: sylphai-inc

Home Page: http://adalflow.sylph.ai/

agent framework llm rag generative-ai machine-learning nlp python retriever ai

thilinarajapakse / simpletransformers

question-answering,Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

User: thilinarajapakse

Home Page: https://simpletransformers.ai/

transformers text-classification named-entity-recognition question-answering conversational-ai information-retrival

vinhkhuc / memn2n-babi-python

question-answering,End-To-End Memory Networks for bAbI question-answering tasks

User: vinhkhuc

machine-learning question-answering python

wudi / php-interview-best-practices-in-china

question-answering,📙 PHP 面试知识点汇总

User: wudi

php interview interview-questions mian-shi question-answering

zjunlp / promptkg

question-answering,PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

Organization: zjunlp

Home Page: https://zjunlp.github.io/project/promptkg

knowledge-graph genkgc prompt-tuning relation-extraction link-prediction retrievalre demo-tuning pytorch promptkg retroprompt