MachineLearningIsEasy
MachineLearningIsEasy
/ Seq2Seq_with_pytorch.ipynb
Created
October 12, 2020 11:05
Create and train seq2seq model with pytorch
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MachineLearningIsEasy
/ Satellite_images_example.ipynb
Created
September 11, 2020 11:47
Download satellite images from sentelhub
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MachineLearningIsEasy
/ ML_osmnx_part_2.ipynb
Created
July 3, 2020 11:45
Regression example with geo coordinate and text as features of a machine learning model. Part 2
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MachineLearningIsEasy
/ ML_osmnx.ipynb
Created
June 26, 2020 19:40
Regression example with geo coordinate as features of a machine learning model. Part 1
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MachineLearningIsEasy
/ osmnx_example.ipynb
Created
June 19, 2020 09:58
Example using osmnx on dataset airbnb NY 2019
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MachineLearningIsEasy
/ Django_deploy.txt
Created
April 30, 2020 18:04
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| Инструкция по настройке Django-приложения на сервере | |
| 1. Подключаем услугу VPS c операционной системой Ubuntu (например, на reg.ru). | |
| 2. Проверяем подключение по SSH (в терминале: ssh root@ip). | |
| 3. Проверяем подключение по ftp (выбираем ftp-клиента исходя из своей операционной системы и вкуса). | |
| 4. Устанавливаем нужную версию интерпретатора python согласно инструкции через ssh. | |
| https://tecadmin.net/install-python-3-8-ubuntu/ |
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| • mkdir /tmp/resnet | |
| – создаем дирректорию. | |
| • curl -s https://storage.googleapis.com/download.tensorflow.org/models/official/20181001_resnet/savedmodels/resnet_v2_fp32_savedmodel_NHWC_jpg.tar.gz | tar --strip-components=2 -C /tmp/resnet -xvz | |
| - копируем архив с моделью по ссылке в созданную директорию и разархивируем его. | |
| • docker pull tensorflow/serving | |
| - загружаем docker образ с tensorflow serving. | |
| • docker run -p 8501:8501 --name tfserving_resnet \ | |
| --mount type=bind,source=/tmp/resnet,target=/models/resnet \ | |
| -e MODEL_NAME=resnet -t tensorflow/serving & | |
| - монтируем контейнер из загруженного образа с доступом через порт 8501 |
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