331 Open source projects that are alternatives of or similar to cartpole-rl-remote

🎲 A curated list of MLOps projects, tools and resources

15+ Machine/Deep Learning Projects in Ipython Notebooks

An Azure template to deploy a lightweight Kubernetes cluster using k3s.io

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.

Graph-based Deep Q Network for Web Navigation

Portable automation meta-framework to manage, describe, connect and reuse any artifacts, scripts, tools and workflows on any platform with any software and hardware in a non-intrusive way and with minimal effort. Try it using this tutorial to modularize and automate ML Systems benchmarking from the Student Cluster Competition at SC'22:

Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)

Self driving car in GTAV with Deep Learning

In-browser reinforcement learning for flappy bird 🐦

A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.

Openshift Examples - This repo does not provide end to end example but rather act as a rough draft for my work. use with caution. Buzzme at @twitter

Comet-For-MLFlow Extension

AppController is a pod that you can spawn in your Kubernetes cluster which will take care of your complex deployments for you.

Kubernetes Cloud Controller Manager implementation for Oracle Cloud Infrastucture

Spin up a full fledged Kubernetes environment designed for local development & CI

This application demonstrates the deployment of a Java based microservices application using Microprofile on Kubernetes Cluster. MicroProfile is a baseline platform definition that optimizes Enterprise Java for a microservices architecture and delivers application portability across multiple MicroProfile runtimes

Recipe to deploy production Kubernetes cluster.

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

This is the Azure Kubernetes Service (AKS) Baseline Cluster reference implementation as produced by the Microsoft Azure Architecture Center.

A distributed graph-based platform to automatically collect, discover, explore and relate multi-cluster Kubernetes resources and metadata.

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

Learn how to set up the Kubernetes cluster in 30 mins and deploy the application inside the cluster.

Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874

Managing machine learning life-cycle with MLflow tutorial

Ops - cli wrapper for Terraform, Ansible, Helmfile and SSH for cloud automation

[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료

Orleans Membership provider for Kubernetes

This repo will seamlessly setup self managed Kubernetes cluster in GCP using Terraform and Kubespray.

Kubernetes cluster autoscaler with pluggable metrics backends and scaling engines

AI Chatbot using Dynamic Memory Network in Keras.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

A collection of cluster reliability tools for Kubernetes

Setting up a distributed Kubernetes cluster along with Istio service mesh locally with Vagrant and VirtualBox, only PoC or Demo use.

GitHub Action that allows you to register models to your Azure Machine Learning Workspace.

An example of a kubernetes cluster appropriate for a startup company

PipelineAI Kubeflow Distribution

This sample shows how to create a private AKS cluster in a virtual network along with a jumpbox virtual machine.

This repository contains instructions to build a digital bank composed of a set of microservices that communicate with each other. Using Nodejs, Express, MongoDB and deployed to a Kubernetes cluster on IBM Cloud.

Kraken CI is a continuous integration and testing system.

Kubernetes cluster managed by GitOps - Git as a single source of truth, automated pipelines, declarative everything, next-generation DevOps

Serving PyTorch models with TorchServe 🔥

[DEPRECATED] A simple way to bootstrap a Kubernetes cluster.

Create a Kubernetes Cluster using Ansible and the vanilla upstream Kubernetes distro k0s.

Simple, elastic Kubernetes cluster autoscaler for AWS Auto Scaling Groups

Multi node IBM Cloud Private Community Edition 3.2.x w/ Kubernetes 1.13.5 in a Box. Terraform, Packer and BASH based Infrastructure as Code script sets up a multi node LXD cluster, installs ICP-CE and clis on a metal or VM Ubuntu 18.04 host.

Schedule bpftrace programs on your kubernetes cluster using the kubectl

Deployment template for a continuous training pipeline.

[EOL] A command-line tool to declaratively manage Kubernetes clusters on AWS

Algorithm engineering is hard enough: don't spend your time with logistics. QA-Board organizes your runs and lets you visualize, compare and share results.

🔮 Scalable reverse image search built on Kubernetes and Elasticsearch

A launchpad for developers to learn Kubernetes from scratch and deployment of microservices on a kubernetes cluster.

Terraform module for provisioning AWS resources to run a Kubernetes cluster

KubeMQ is Enterprise-grade message broker native for Docker and Kubernetes

Polyaxon Core Client & CLI to streamline MLOps

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

Slack bot for monitoring your Metaflow flows!

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

Kubernetes cluster deployment to Hetzner Cloud

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.