Home
Projects
Resources
Alternatives
Blog
Sign In
DeepPavlov Versions
Save
An open source library for deep learning end-to-end dialog systems and chatbots.
Overview
Versions
Reviews
Resources
0.15.0
3 years ago
bert_as_summarizer, seq2seq_go_bot, hyperparameter optimization by neural evolution and all deeppavlov.deprecated components were removed
NER automodel
Сomponent-based config requirements generation
Minor edits and fixes
0.14.1
3 years ago
Fixed installation on python3.6
0.14.0
3 years ago
Intent Catcher
component
Support
of the Hugginface Transformers for classification
Go-Bot formfilling (
tutorial
)
Entity Linking, Wiki Parser and KBQA as
separate components
Minor edits and fixes
0.13.0
3 years ago
Hugging Face datasets
support
Go-Bot now requires only RASA-based configs to train its components (intent catcher, slot filler, dialogue state tracker also known as Go-Bot itself)
Prometheus
metrics middleware
for REST web service
KBQA models fixes
Minor edits of the documentation
0.12.1
3 years ago
Entity Linking for Wikidata (English)
Bugfixes in KBQA model
Other minor improvements
0.12.0
3 years ago
PyTorch Support
(w/ Examples)
Multi-task BERT
Basic
RASA Configs Support
for Go-Bot
Entity Linking
top_n
Answers API Update in ODQA Models
Hybrid NER Models Trained on OntoNotes:
Ru
|
En
BoolQ
Dataset
Reader
0.11.0
3 years ago
Dataset generation tool with a
tutorial
for Goal-Oriented Dialog Bot
Undocumented
feature
for downloading artifacts from Amazon s3
New KBQA pipeline
for online version of Wikidata
First version of a
KBQA pipeline
using Syntax tree for generating SPARQL-queries
And many small improvements and fixes
0.10.0
3 years ago
New Knowledge Base Question Answering
model for WikiData
Training interfaces
for KBQA models
Refactored
goal-oriented bot
architecture
And many small improvements and fixes
0.9.1
4 years ago
Fix requirements for ASR and TTS configs
0.9.0
4 years ago
A dataset reader for the
IMDB Large Movie Review Dataset
and
sample configurations
for training classifiers on it
Models for speech recognition and synthesis
based on
NVIDIA NeMo
A New hybrid NER model pre-trained for
English
and
Vietnamese
languages
A pre-trained
NER-based Model for Sentence Boundary Detection Task
Many smaller changes and fixes
« Previous
Next »
Home
Projects
Resources
Alternatives
Blog
Sign In
Sign In to OSA
I agree with
Terms of Service
and
Privacy Policy
Sign In with Github