102 Open source projects that are alternatives of or similar to dama

⚠️ This repository is deprecated and will be archived (Docker CE itself is NOT deprecated) see the https://github.com/docker/docker-ce/blob/master/README.md ⚠️

A docker image to allow the launch of container in docker swarm, with options normally unavailable to swarm mode

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.

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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.

No description or website provided.

A Collection of GitHub Actions That Facilitate MLOps

Machine Learning Pipelines for Kubeflow

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Deployment template for a continuous training pipeline.

Always know what to expect from your data.

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

HI-ML toolbox for deep learning for medical imaging and Azure integration

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:

Making Docker and Kubernetes management easy.

🐳 gockerfile is a YAML Docker-compatible alternative to the Dockerfile Specializing in simple go server.

A library and command line interface for formatting and linting Dockerfiles.

CartPole game by Reinforcement Learning, a journey from training to inference

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Evaluate wandb, tensorboard, neptune, mlflow, etc

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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.

A curated list of references for MLOps

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

Kedro Plugin to support running pipelines on Kubernetes using Airflow.

A Python framework for creating reproducible, maintainable and modular data science code.

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

Slack bot for monitoring your Metaflow flows!

The collaboration workspace for Machine Learning

🎲 A curated list of MLOps projects, tools and resources

Serving PyTorch models with TorchServe 🔥

DockStation is developer-centric application to managing projects based on Docker. Instead of lots of CLI commands you can monitor, configure, and manage services and containers using just a GUI.

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

🐳 A curated list of Docker resources and projects

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

Docker + Node = Dockerode (Node.js module for Docker's Remote API)

📒 Experiment tracking tool and model registry

Ethereum development package in docker.

MLOps Case Study

The simple ci server

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

Model Serving Made Easy

Coarse-grained lineage and tracing for machine learning pipelines.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Polyaxon Core Client & CLI to streamline MLOps

Feature Store for Machine Learning

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

Learn how to responsibly deliver value with ML.

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

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

Public reusable components for Polyaxon

🚀 Build and manage real-life data science projects with ease!

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

Projects developed by Domino's R&D team

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

A tool for training models to Vertex on Google Cloud Platform.

Black-box optimization library

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

Kraken CI is a continuous integration and testing system.