176 Open source projects that are alternatives of or similar to mlops-platforms

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

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.

Projects developed by Domino's R&D team

Public reusable components for Polyaxon

Machine Learning Pipelines for Kubeflow

A declarative KubeFlow Management Tool

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

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

This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

Kubeflow pipelines built on top of Tensorflow TFX library

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.

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

Evaluate wandb, tensorboard, neptune, mlflow, etc

MLFLow Tracking Server based on Docker and AWS S3

Operationalize a video anomaly detection model with Azure ML

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

❄️ 🐳 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

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

A Collection of GitHub Actions That Facilitate MLOps

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Polyaxon Core Client & CLI to streamline MLOps

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

Testing framework for Databricks notebooks

KNIME - Text Processing Extension (Labs)

Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning

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

📒 Experiment tracking tool and model registry

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.

DBAPI and SQLAlchemy dialect for Databricks Workspace and SQL Analytics clusters

KNIME Deep Learning - Tensorflow Integration

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS

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

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

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

Using Kafka-Python to illustrate a ML production pipeline

Managing machine learning life-cycle with MLflow tutorial

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

Serving PyTorch models with TorchServe 🔥

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

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.

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

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.

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

Sample code for AWS data service and ML courses on LinkedIn Learning

KNIME Analytics Platform & SDK with Docker Container in X11 desktop

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

Azure Machine Learning Cheat Sheets

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

Comet-For-MLFlow Extension

Kubeflow blog based on fastpages

MLOps Case Study

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

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018

All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.

KNIME Interactive R Statistics Integration

Coarse-grained lineage and tracing for machine learning pipelines.

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

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

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