186 Open Source Mlops Software Projects
Free and open source mlops code projects including engines, APIs, generators, and tools.
Awesome Production Machine Learning 10782 ⭐
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Seldon Core 2888 ⭐
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Ck 451 ⭐
Collective Knowledge framework (CK) provides a common set of automation recipes, APIs and meta descriptions to enable collaborative, reproducible and unified benchmarking and optimization of ML Systems across continuously changing models, data sets, software and hardware:
Ml Workflow Automation 43 ⭐
Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Qaboard 42 ⭐
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.
Cartpole Rl Remote 23 ⭐
CartPole game by Reinforcement Learning, a journey from training to inference
Onepanelio Core 568 ⭐
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
Aml Run 19 ⭐
GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.
Aml Compute 18 ⭐
GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.
Aml Deploy 33 ⭐
GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
Whylogs Python 735 ⭐
Profile and monitor your ML data pipeline end-to-end , Join us in slack @ http://join.slack.whylabs.ai/
Great_expectations_action 51 ⭐
A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
Aml Workspace 22 ⭐
GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
Amazon Sagemaker Examples 6455 ⭐
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Kedro 6212 ⭐
A Python framework for creating reproducible, maintainable and modular data science code.
Activeloopai Hub 4224 ⭐
Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai
Polyaxon 2987 ⭐
Machine Learning Management & Orchestration Platform (Monorepo for Polyaxon's MLOps Tools)
Allegroai Trains 2955 ⭐
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Lyft Flyte 1871 ⭐
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
Evidently 2093 ⭐
Interactive reports to analyze machine learning models during validation or production monitoring.
Tangramdotdev Tangram 1112 ⭐
Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
Gokumohandas Mlops 955 ⭐
A project-based course on the foundations of MLOps with a focus on intuition and application.
Bodywork Core 316 ⭐
ML pipeline orchestration and model deployments on Kubernetes, made really easy.
Mlplatform Workshop 256 ⭐
🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
Gokart 230 ⭐
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
Ml Model Ci 156 ⭐
MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.
Chitra 176 ⭐
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Python Mlops Cookbook 171 ⭐
This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
Modelstore 141 ⭐
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
99sbr FastAPI Template 112 ⭐
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.
Kedro Mlflow 87 ⭐
A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
Distributed Ml Patterns 97 ⭐
Distributed Machine Learning Patterns (Manning Publications). Now available for early access. Read it online for free! https://bit.ly/2RKv8Zo
Dama 77 ⭐
a simplified machine learning container platform that helps teams get started with an automated workflow
Aws Mlops Framework 85 ⭐
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.
Mlops With Vertex Ai 137 ⭐
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Dud 83 ⭐
A lightweight CLI tool for versioning data alongside source code and building data pipelines.
Flytekit 68 ⭐
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
Fuseml 61 ⭐
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.
Tfx Addons 58 ⭐
TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group
Mnist Mlops Learning 64 ⭐
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
Mlops Specialization Notes 82 ⭐
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Cuttle Cli 42 ⭐
Cuttle automates the transformation of your Python notebook into deployment-ready projects (API, ML pipeline, or just a Python script)
Vickybytes 45 ⭐
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