i-Hun

Cook_with_NN

Цель: генерация изображений на основе ингредиентов.

thesis-code

thesis-latex

i-Hun/Cook_with_NN

Цель: генерация изображений на основе ингредиентов.

i-Hun/adjdatatools

This library contains adjusted tools for data preprocessing and working with mixed data types

i-Hun/career

Информация о внутренней кухне Тинькофф и о процессе интервью

i-Hun/content

Nuxt Content lets you write in a content/ directory and fetch your Markdown, JSON, YAML, XML and CSV files through a MongoDB like API, acting as a Git-based Headless CMS

i-Hun/da_in_special_enviroments_2018

i-Hun/da_in_special_enviroments_2018_grades

i-Hun/DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

i-Hun/deeplearning

i-Hun/docker-ds

i-Hun/fastbook

Draft of the fastai book

i-Hun/hypercon-setup

i-Hun/intro2python_hse2018

i-Hun/kickstart.nvim

A launch point for your personal nvim configuration

i-Hun/labeling-front-dist

i-Hun/matstat

Математическая статистика

i-Hun/mlcourse.ai

Open Machine Learning Course

i-Hun/nagornyy

i-Hun/nuxt-content

i-Hun/phd-thesis-code

i-Hun/recmetrics

A library of metrics for evaluating recommender systems

i-Hun/recsys-value-metrics

i-Hun/smart-home-rust

i-Hun/socinfo2018

i-Hun/STAN

STAN implementation according to paper 'Sequence and Time Aware Neighborhood for Session-based Recommendations'

i-Hun/SummerSchoolDubna2018

Летняя школа, Дубна, 2018.[]

i-Hun/test-gh-pages

i-Hun/vue-pwp

i-Hun/wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

i-Hun/x5-retailhero-implicit-baseline

Implicit baseline for https://retailhero.ai/c/recommender_system/overview

i-Hun/x5-retailhero-turicreate-baseline

turicreate baseline for https://retailhero.ai/c/recommender_system/overview