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This Terraform module manages Cloudwatch Alarms for an ALB in the region.
This Terraform module manages Cloudwatch Alarms for an RDS instance.
Demo for Env0 to show how to use Jenkins with Terraform in Docker for IaC
Configure and deploy complete ECS solutions with Terraform or CDK
A secure HashiCorp Vault for secrets, tokens, keys, passwords, and more. Automated deployment with Terraform on AWS. Configurable options for security and scalability. Usable with any applications …
An example to use Terraform to create an AWS Lambda function with an API gateway.
Effortless Secrets Management in Kubernetes: Streamlining App Deployment with GitOps and ArgoCD using the HashiCorp Vault Injector
A Terraform Module for how to run Nomad on Google Cloud using Terraform and Packer
This repository describes how to use AWS Control Tower controls, HashiCorp Terraform, and infrastructure as code (IaC) to implement and administer preventive, detective, and proactive security cont…
github repo for https://learn.cantrill.io/p/aws-certified-solutions-architect-associate-saa-c03
High availability implementation of AWS NAT instances.
MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。(Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and…
A practical implementation of sign language estimation using an LSTM NN built on TF Keras.
kinivi / hand-gesture-recognition-mediapipe
Forked from Kazuhito00/hand-gesture-recognition-using-mediapipeThis is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
Cross-platform, customizable ML solutions for live and streaming media.
SwiftUI application that used combine and MVVM architecture.
React Native wrapper for the Activity Recognition API.
Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)
Deep Learning Project.