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Roman Koles's Projects

amazon-eks-jenkins-terraform icon amazon-eks-jenkins-terraform

These samples focus on Continuous Integration, and contain installation and configuration of Jenkins on Amazon EC2 using Hashicorp Terraform (Open Source)

amazon-s3-developer-guide icon amazon-s3-developer-guide

The open source version of the Amazon S3 docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

aws-data-wrangler icon aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

checkov icon checkov

Prevent cloud misconfigurations during build-time for Terraform, Cloudformation, Kubernetes, Serverless framework and other infrastructure-as-code-languages with Checkov by Bridgecrew.

codepipeline-nested-cfn icon codepipeline-nested-cfn

CloudFormation templates, CodeBuild build specification & Python scripts to perform unit tests of a nested CloudFormation template.

dashboard icon dashboard

General-purpose web UI for Kubernetes clusters

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

devops-box icon devops-box

A vagrant project with an ubuntu box with the tools needed to do DevOps

examples icon examples

Kubernetes application example tutorials

featuretools icon featuretools

An open source python framework for automated feature engineering

finta icon finta

Common financial technical indicators implemented in Pandas.

getting-things-done-with-pytorch icon getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

h2o-tutorials icon h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

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