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bashkir-corpus

Тексты для корпуса башкирского языка

bashkir-language-resources

Здесь собирается каталог ссылок на полезные языковые ресурсы башкирского языка

disaster_tweets

Kaggle competition Real or Not? NLP with Disaster Tweets

disser

dlcourse_ai

Материалы курса Deep Learning на пальцах

esp_tfmicro

Get tfmicro component for esp

gpt-j-8bit-lightning-finetune

hacks-ai-ufa

Solutuon for competition

hatespeechdata

Hate speech data

idao-master

IDAO

kiportal-parser

llms-lora-8bit-4bit-finetuning-lit

ml-course-19

mlcourse_open

OpenDataScience Machine Learning course. Launches on Feb, 5 both in English and Russian

movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 2016

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

obscene_words_ru

Корпус ненормативной лексики русского языка для нужд NLP. Любые исправления и дополнения приветствуются

ods_nlp_baselines

NLP classification task baselines for ODS community.

oldturkicmorph-web

Oldturkicmorph

openvpn-install

OpenVPN road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora

phuket_na_telegram_bot

pymystem3

A Python wrapper of the Yandex Mystem 3.1 morphological analyzer (http://api.yandex.ru/mystem). The original tool is shipped as a binary and this library makes it easy to integrate it in Python projects. Let us know in the issues if you would like to be involved into the developments or maintenance of this project. If you have any fix or suggestion, please make a pull request. We are very open to accepting any contributions.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

sentiment_airbnb

species_downloader

supershad

Решения вступительных заданий в Школу анализа данных (ШАД)

tf_ner

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

toxic_test

Это мое решение тестового задания от *** . Задание: Написать классификатор для определения токсичности (ядовитости) текста (1, если текст содержит токсичность, 0 в противном случае).

vetka925.github.io

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