bond005

deep_ner

Named entity recognizer based on ELMo or BERT as feature extractor and CRF as final classifier

pisets

The python library and service for automatic speech recognition and transcribing in Russian and English

vad

Various algorithms for voice activity detection

yandex-shifts-weather

The best solution of the Weather Prediction track in the Yandex Shifts challenge

seq2seq

LSTM-Seq2Seq on the bases of Keras with the simple ScikitLearn interface

impartial_text_cls

Text classifier, based on the BERT and a Bayesian neural network, which can train on small labeled texts and doubt its decision.

runne_contrastive_ner

This project is concerned with my participating in the RuNNE competition https://github.com/dialogue-evaluation/RuNNE

bert_ner

Named entity recognizer based on BERT and CRF

factRuEval-2016

http://www.dialog-21.ru/evaluation/2016/letter/

rnnmorph

Морфологический анализатор на основе нейронных сетей и pymorphy2

ru_llm_instruct

Experiments to build an instruct large language model for Russian language.

sequence_classifier

Sequence classifier based on SRU (cf. https://arxiv.org/abs/1709.02755).

speech_commands

Recognizer of speech commands and other sounds based on pre-trained MobileNet

wav2vec2-gpt-mt

Wav2Vec2-mGPT speech encoder-decoder with multitask learning

asr_cdp

Automatic voice commands recognition by the Vintsyuk algorithm based on dynamic programming and piecewise-constant model of speech signal.

conll2000_crf

CRF Chunker for CoNLL2000 task

constt

Constrastive learning for Wav2Vec2-based speech-to-text

kenlm

KenLM: Faster and Smaller Language Model Queries

multitask_speech_model

natural_language_processing_course

This repository is devoted to my Natural Language Processing course in the Novosibirsk State University

neuro_tagger

Text tagger based on recurrent neural network. It can be used as NER, dependency parser, morphoanalyzer etc.

py-webrtcvad

Python interface to the WebRTC Voice Activity Detector

python-cnn

Simple convolution neural network in Python 3.x

self-adaptive-hierarchy

Experiments with self-adaptive hierarchical learning for text classification

SiteClassificator

Group sites by given types.

snn

Tabular data processing based on self-normalizing neural networks

soroka

Узнай, хорошо или плохо говорят о тебе или твоей фирме в Интернете! Наша "Сорока" с искусственным интеллектом принесёт тебе это на своём хвосте

speech_cleaner

Speech cleaner from complex noises based on SEDNN https://github.com/yongxuUSTC/sednn

speechmonger

tabular_deep_learning

My experiments with deep neural networks for tabular data processing