irina-64 Goto Github PK
Name: Trira
Type: User
Company: Don State Technical University
Bio: was born, grew up, studied, work and die on the Internet
Location: Rostov-on-Don, Russia
Trira's Projects
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
117-site-example
учебный демо-проект для 117 Гимназии
2020_project
проект финала хакатона ЦП-2020
314909-big-trip-17
Ирина Трубчик
314909-cinemaddict-16
Ирина Трубчик
314909-cinemaddict-17
Ирина Трубчик
314909-keksobooking-25
Ирина Трубчик
314909-kekstagram-25
Ирина Трубчик
314909-six-cities-15
Ирина Трубчик
314909-six-cities-simple-11
Ирина Трубчик
314909-six-cities-simple-12
Ирина Трубчик
314909-what-to-watch-10
Ирина Трубчик
314909-what-to-watch-12
Ирина Трубчик
a-pytorch-tutorial-to-object-detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
aad
материалы курса Алгоритмы анализа данных и семинаров по Облачным технологиям (бакалавры, ДГТУ)
ad-mo
материалы и практические задания к курсу "Анализ данных и машинное обучение"
ad-mo_parsehtml
АД-МО_parsehtml
advanced-deep-learning-with-keras
Advanced Deep Learning with Keras, published by Packt
adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
ai_university
ноутбуки и материалы для обучения в Университете Искусственного Интеллекта
alg-data-analisys
материалы и задания к курсу АиСД для направления 09.03.02 и 09.03.03 ф-та МКМТ ДГТУ
algo-homeworks
Домашние задания по курсу "Алгоритмы и структуры данных"
aml-22_dsnn-6
Материалы курса Нетологии "Машинное обучение. Нейронные сети"
aml-22_feml-9
Материалы и практические работы курса МО в Нетологии (2022)
aml-22_zak-9
Практические работы курса "Менеджмент Data-проектов" в Нетологии
amplify-js
A declarative JavaScript library for application development using cloud services.
animation-basics-source
Исходники курса «Анимации, часть 1. CSS-анимации»
animation_demo
демо-проект
api-securityempire
API Security Project aims to present unique attack & defense methods in API Security field
applied-python
Репозиторий курса «Прикладной Python» в Технопарке
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