Welcome to DeepPavlov’s documentation!

• Installation
• QuickStart
• General concepts
• Configuration file
• Python pipelines
• Models overview

Features

• Pre-trained embeddings
  • BERT
  • ELMo
  • fastText
• AutoML
  • Cross-validation

Models

• Multitask BERT
• Context Question Answering
• Classification
• Few-shot Classification
• Named Entity Recognition
• Entity Extraction
• BERT-based models
• Morphological Tagging
• Neural Ranking
• Spelling Correction
• Syntactic Parsing
• TF-IDF Ranking
• Popularity Ranking
• Knowledge Base Question answering
• Relation Extraction
• Train the model using Python:
• SuperGLUE Submission
• Open-Domain Question Answering

Integrations

• REST API
  • API routes
    • /model
    • /probe
    • /api
    • /docs
    • /metrics
  • Advanced configuration
• REST API Usage Example
• Socket API
  • Advanced configuration
  • Socket client example (Python)
• Amazon AWS deployment
  • 1. AWS EC2 machine launch
  • 2. DeepPavlov ODQA deployment
  • 3. Accessing your ODQA API
• DeepPavlov settings
  • 1. Settings files access and management
  • 2. Dialog logging
  • 3. Environment variables

Developer Guides

• Contribution guide
• Register your model

Internships

• Internships

Package Reference

• core
  • deeppavlov.core.commands
  • deeppavlov.core.common
  • deeppavlov.core.data
  • deeppavlov.core.models
  • deeppavlov.core.trainers
• dataset_iterators
• dataset_readers
• metrics
• models
  • deeppavlov.models.api_requester
  • deeppavlov.models.classifiers
  • deeppavlov.models.doc_retrieval
  • deeppavlov.models.embedders
  • deeppavlov.models.entity_extraction
  • deeppavlov.models.kbqa
  • deeppavlov.models.preprocessors
  • deeppavlov.models.relation_extraction
  • deeppavlov.models.sklearn
  • deeppavlov.models.spelling_correction
  • deeppavlov.models.tokenizers
  • deeppavlov.models.torch_bert
  • deeppavlov.models.vectorizers
• vocabs

Indices and tables

• Index

• Module Index