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🧦 lokalt: "L:\Clones_github\kmz"
https://aibolem.github.io/kml/kml/index.html
ISOCAUNUC
ИзоометРиЯ наука видеть детали и чертить их в так называемом три Де. в моём сЛучае ДЗэ ... где баРп (вÅРп) Лёв
same thing are in MultiKLM too
https://aibolem.github.io/kml/kml/kml.html
https://aibolem.github.io/kml/kml/kml.html
https://aibolem.github.io/kml/kml/kml.html
SidEViEW of SERVO PARIS TWINDEX DBRhein (brain (hjÄRNa) when listening to music)
full Visualisation with created impulses: https://barionleg.github.io/ABC_ub_particles/saabc.html
https://github.com/barionleg/ABC_ub_particles/wiki
Actually MOCKBA or Moscow are also Brain Chemie (ø'hjÄRNakemin) when listening to music, but view is from over side, when in PARiS (SERVO) brain view is from A side.
🔎
MRT IMAgE of NERVIC ENdS of BRAiN in Colors 🧠 мозгОвАЯ АКтивность
https://barionleg.github.io/ABC_ub_particles/embed/3index.html
вообщетО вспÅмнил ноРР Д'ВАРгŒн²ОтYSK gœнОтиск вÄй мнАгО чАгО ... но как гОВАРдится оРошему сказчику классный слушатель нужен, да и рядом и на виду а не за кулисами илижек в суфлёрной ...
пожалуйста не искРивльяете сказанное, если чтО не поймёте спрашивайте меня, и не по пантомиме пж
ИРАКОЛЯR
Egypte Pyramider: Cheopspyramiden, Al Haram, Nazlet El-Semman.
Dedicated to my childhood classmates son Nuriko.
https://aibolem.github.io/kml/kml/kml.html
Actually I remembaering and made a few PERFORMANCES about s.c. "Time". There was a populist teory, that time is money .... I see things as they was projected and by my view we, who living on that SPACEKRAFT called Earth Planet ... Planet ar from ord (Nordic) or word Plantes ...
But we mooving in gen ...
When we mooving by plain or Trubalett or Tubåflow over ground, wich self mooving very fast, we have to count also pressure ... but about not now.
I just show an interesting circles watches Temphica ... will explain in future
20250831
Lee b.
ლი ბ.


Modelkreation: https://www.mlflow.org/docs/latest/model-registry.html#adding-an-mlflow-model-to-the-model-registry
*data pipline: https://dagshub.com/docs/tutorial/ *
Kidney-Disease-Classification-MLflow-DVC Workflows Update config.yaml Update secrets.yaml [Optional] Update params.yaml Update the entity Update the configuration manager in src config Update the components Update the pipeline Update the main.py Update the dvc.yaml app.py How to run? STEPS: Clone the repository
https://github.com/ibanknatoPrad/Kidney-Disease-Classification-Deep-Learning-Project STEP 01- Create a conda environment after opening the repository conda create -n cnncls python=3.8 -y conda activate cnncls STEP 02- install the requirements pip install -r requirements.txt
python app.py Now,
open up you local host and port MLflow Documentation
MLflow tutorial
cmd mlflow ui dagshub dagshub
MLFLOW_TRACKING_URI=https://dagshub.com/entbappy/Kidney-Disease-Classification-MLflow-DVC.mlflow MLFLOW_TRACKING_USERNAME=entbappy MLFLOW_TRACKING_PASSWORD=6824692c47a369aa6f9eac5b10041d5c8edbcef0 python script.py
Run this to export as env variables:
export MLFLOW_TRACKING_URI=https://dagshub.com/entbappy/Kidney-Disease-Classification-MLflow-DVC.mlflow
export MLFLOW_TRACKING_USERNAME=entbappy
export MLFLOW_TRACKING_PASSWORD=6824692c47a369aa6f9eac5b10041d5c8edbcef0
DVC cmd dvc init dvc repro dvc dag About MLflow & DVC MLflow
Its Production Grade Trace all of your expriements Logging & taging your model DVC
Its very lite weight for POC only lite weight expriements tracker It can perform Orchestration (Creating Pipelines) AWS-CICD-Deployment-with-Github-Actions
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Login to AWS console.
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Create IAM user for deployment #with specific access
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EC2 access : It is virtual machine
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ECR: Elastic Container registry to save your docker image in aws
#Description: About the deployment
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Build docker image of the source code
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Push your docker image to ECR
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Launch Your EC2
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Pull Your image from ECR in EC2
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Lauch your docker image in EC2
#Policy:
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AmazonEC2ContainerRegistryFullAccess
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AmazonEC2FullAccess
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Create ECR repo to store/save docker image
- Save the URI: 566373416292.dkr.ecr.us-east-1.amazonaws.com/chicken
- Create EC2 machine (Ubuntu)
- Open EC2 and Install docker in EC2 Machine: #optinal
sudo apt-get update -y
sudo apt-get upgrade
#required
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker ubuntu
newgrp docker 6. Configure EC2 as self-hosted runner: setting>actions>runner>new self hosted runner> choose os> then run command one by one 7. Setup github secrets: AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_REGION = us-east-1
AWS_ECR_LOGIN_URI = demo>> 566373416292.dkr.ecr.ap-south-1.amazonaws.com
ECR_REPOSITORY_NAME = simple-app