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

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

Evaluate wandb, tensorboard, neptune, mlflow, etc

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Crane is a easy-to-use and beautiful desktop application helps you build manage your container images.

Public reusable components for Polyaxon

Projects developed by Domino's R&D team

A declarative KubeFlow Management Tool

Kubeflow pipelines built on top of Tensorflow TFX library

Machine Learning Pipelines for Kubeflow

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Visualizing Artificial Neural Networks (ANNs) with just One Line of Code

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

PoC; terraform + kubeadm

Ansible Role to install RKE2 Kubernetes.

📒 Experiment tracking tool and model registry

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

MLOps Case Study

GoCD plugins to work with MLFlow as model repository in a CD flow

Deep learning for freehand sketch object recognition

Coarse-grained lineage and tracing for machine learning pipelines.

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

Black-box optimization library

Simple tool to get webhooks on Kubernetes cluster events

Art to Image Style Transfer using Keras and Tensorflow.

Subscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!

15+ Machine/Deep Learning Projects in Ipython Notebooks

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

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:

Self driving car in GTAV with Deep Learning

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

Comet-For-MLFlow Extension

Kubernetes Cloud Controller Manager implementation for Oracle Cloud Infrastucture

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

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

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

Managing machine learning life-cycle with MLflow tutorial

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

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

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

AI Chatbot using Dynamic Memory Network in Keras.

An example of a kubernetes cluster appropriate for a startup company

Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz

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

Kraken CI is a continuous integration and testing system.

Serving PyTorch models with TorchServe 🔥

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

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

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.

A Collection of GitHub Actions That Facilitate MLOps

一键部署k8s1.15.1

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

Deployment template for a continuous training pipeline.

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.

PipelineAI Kubeflow Distribution

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

Polyaxon Core Client & CLI to streamline MLOps