Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

AWS Control Tower Account Factory

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A library for training and deploying machine learning models on Amazon SageMaker

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

Django Admin Material - Playground Project | AppSeed

The vSphere tags Terraform module either creates or imports a tag category as well as a list of tags in your VMware Cloud on AWS or VMware vSphere on-premises environment, and then outputs the conf…

The vSphere content library Terraform module either creates or imports a content library as well as a list of items in your VMware Cloud on AWS or VMware vSphere on-premises environment, and then o…

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Terraform Module for create AWS IPAM Resources

Django - Berry Dashboard (Open-Source) | AppSeed

🗑️🦝🦝🦝Demo project for AWS Developer: Serverless Architecture and Monitoring course on Pluralsight

Django Pixel UI Kit - Open-Source Django Starter | AppSeed

This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio

Example projects using the AWS CDK

Python Penetration Testing Cookbook, published by Packt

React Dashboard - Soft UI Dashboard | AppSeed

Soft UI Design System - Django Starter | AppSeed

Docker container for running Chainer scripts to train and host Chainer models on SageMaker

A Python application for tracking, reporting on timing and complexity in Python code

Django Boilerplate - Material Kit Design | AppSeed

This project shows step-by-step guide on how to build a real-world flower classifier of 102 flower types using TensorFlow, Amazon SageMaker, Docker and Python in a Jupyter Notebook.

The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.

Django Dynamic API - Open-Source Library | AppSeed

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Code and associated files for the deploying ML models within AWS SageMaker