deeppavlov/DeepPavlov

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

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[](LICENSE) [](https://pepy.tech/project/deeppavlov) [](https://forum.deeppavlov.ai/) [](https://demo.deeppavlov.ai/) DeepPavlov 1.0 is an open-source NLP framework built on PyTorch and transformers. DeepPavlov 1.0 is created for modular and configuration-driven development of state-of-the-art NLP models and supports a wide range of NLP model applications. DeepPavlov 1.0 is designed for practitioners with limited knowledge of NLP/ML. There is a bunch of great pre-trained NLP models in DeepPavlov. Each model is determined by its config file. List of models is available on the doc page in the deeppavlov.configs (Python): When you're decided on the model (+ config file), there are two ways to train, evaluate and infer it: By default, DeepPavlov installs models requirements from PyPI. PyTorch from PyPI could not support your device CUDA capability. To run supported DeepPavlov models on GPU you should have CUDA compatible with used GPU and PyTorch version required by DeepPavlov models. See docs for details. GPU with Pascal or newer architecture…

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Read the full README ↗ · Preview checked 2026-10-27T22:25:47.281Z

Inside the original README — Document outline
  1. DeepPavlov 1.0
  2. Quick Links
  3. Installation
  4. QuickStart
  5. GPU requirements
  6. Command line interface (CLI)
  7. Python
  8. License
  9. Citation

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

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

Repository facts

Owner
deeppavlov
Primary language
Python
Stars
6,997
Forks
1,167
Open issues + pull requests
57
License
Apache-2.0
Archived
No
Default branch
master
Created
2017-11-17T14:35:29.000Z
Last push
2025-08-06T07:11:40.000Z

Topics and intended use

Owner-supplied topics: ai, artificial-intelligence, bot, chatbot, chitchat, deep-learning, deep-neural-networks, dialogue-agents, dialogue-manager, dialogue-systems, entity-extraction, intent-classification, intent-detection, machine-learning, named-entity-recognition, nlp, nlp-machine-learning, question-answering, slot-filling, tensorflow

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