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DeepPavlov: an open source conversational AI framework
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DeepPavlov is designed for development of production ready chat-bots and complex conversational systems, research in the area of NLP and, particularly, of dialog systems.
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DeepPavlov: an open source conversational AI framework
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2022-05-12 16:25:42

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2022-05-12 16:25:42

DEEPPAVLOV PRODUCTS DEEPPAVLOV DeepPavlov Demo Docs Github Nvidia NGC Docker Hub Releases AGENT Agent Docs Github DREAM Dream Demo Announcement Github Datasets CHALLENGES Challenges Alexa Prize 4 READ//ABLE Alexa Prize 3 DSTC 8 DeepHack and CISS 2nd ConvAI ConvAI RESEARCH Research Internships GSoC Edu Publications FORUM COMMUNITY Community Contributors Events Community Calls BLOG ABOUT US About Us Team Interns Alumni Careers Contacts A new article about enhancement dialogue management in our Dream Socialbot! Read more Close challenges DEEPPAVLOV AGENT DREAM RESEARCH COMMUNITY BLOG ABOUT US DEMO DOCS GITHUB NVIDIA NGC DOCKER HUB Releases DeepPavlov An open source conversational AI framework DeepPavlov makes it easy for beginners and experts to create dialogue systems.See the sections below to get started. For Beginners See tutorials The best place to start is with the user-friendly tutorials. They provide quick and convenient introduction on how to use DeepPavlov with complete, end-to-end examples. No installation needed. For Experts See the guide Guides explain the concepts and components of DeepPavlov. Follow step by step instructions to install, configure and extend DeepPavlov framework for your use case. WHY DEEPPAVLOV DeepPavlov is an open source framework for chatbots and virtual assistants development. It has comprehensive and flexible tools that let developers and NLP researchers create production ready conversational skills and complex multi-skill conversational assistants. Latest deep learning models Use BERT and other state-of-the-art deep learning models to solve classification, NER, Q&A and other NLP tasks. Multi-skill dialog management DeepPavlov Agent allows to build industrial solutions with multi-skill integration via API services. Easy to use Run pretrained or your own NLP components and conversational skills from Python code, command line interface, API or Docker. DeepPavlov models are now packed in an easy-to-deploy containers hosted on Nvidia NGC and Docker Hub. Our conversational AI technology can help accelerate with up to 20X speedups in your NLP applications. DeepPavlov at NGC DeepPavlov at Docker Hub TRY DEMO IN THE INTERNETOur posts are published on popular industrial and academic ML blogs. We also have our own blog on Medium. 11.04.2022 How We Enhanced Dialogue Management in Dream Socialbot Read at DeepPavlov 30.12.2021 Making Dream Happen Read at DeepPavlov 15.09.2021 Relation Extraction for DeepPavlov Library Read at DeepPavlov 12.08.2021 Introducing DeepPavlov v0.16— an Open-Source NLP Library Read at DeepPavlov 07.07.2021 Running Deepy Locally on WSL2 in Windows 11 Read at Geek Culture 29.01.2021 Text Classification Using DeepPavlov Library With PyTorch And Transformers Read at DeepPavlov 08.12.2020 The King is Dead — Long Live The King, or welcome to Deepy 3000! Read at DeepPavlov 06.11.2020 DREAM MIPT team selected for Alexa Prize Socialbot Grand Challenge 4 Read at DeepPavlov 29.10.2020 DeepPavlov Product Roadmap — 2020H2 and Look At 2021 Read at DeepPavlov 03.09.2020 How To Build Simple AI Assistant With DeepPavlov Dream Read at DeepPavlov 03.09.2020 Join DeepPavlov Contributor Program Read at DeepPavlov 18.09.2019 DeepPavlov: An open-source library for end-to-end dialogue systems and chatbots Read at TensorFlow 05.08.20 Building a Simple AI Assistant with DeepPavlov and NVIDIA NeMo Read at NVIDIA blog 03.07.20 Developing QA Systems for any Language with DeepPavlov Read at DeepPavlov 02.01.2019 Simple intent recognition and question answering with DeepPavlov Read at DeepPavlov 04.02.2019 Open-domain question answering with DeepPavlov Read at DeepPavlov 07.08.2019 BERT-based Cross-Lingual Question Answering with DeepPavlov Read at TDS 13.06.2019 19 entities for 104 languages: A new era of NER with the DeepPavlov multilingual BERT Read at TDS 29.05.2019 The BERT-based text classification models of DeepPavlov Read at TDS 10.07.2019 Build AIML chatbot with Deep Pavlov Spelling Corrector Read at ChatBotsLife 01.05.2020 DeepPavlov: "Keras" for Natural Language Processing answers COVID Questions Read at TDS 24.01.2020 DeepPavlov enables #MeTooMaastricht project to help survivors of sexual violence Read at DeepPavlov 30.12.2019 DREAM Team on Alexa Prize Socialbot Challenge 3 Read at DeepPavlov Left Right #rec192785977 .t-slds__bullet_active .t-slds__bullet_body {background-color: #222 !important;}#rec192785977 .t-slds__bullet:hover .t-slds__bullet_body {background-color: #222 !important;} Find Out More News COMMUNITY Join the DeepPavlov community and help grow the conversational AI ecosystem DeepPavlov Forum COMMUNITY Join the DeepPavlov community and help grow the conversational AI ecosystemDeepPavlov Forum DeepPavlov Products HomeLibraryAgentDreamDemo ORGANIZATION ResearchAbout UsChallengesTeamCareersInternships COMMUNITY BlogEventsForumSupportContributor ProgramContact Us Keep In Touch Twitter VK Youtube Telegram © 2021 DeepPavlov.All rights reserved.