mlflow

ML lifecycle manager

A platform to manage the entire machine learning lifecycle, from experiment tracking to model deployment.

Open source platform for the machine learning lifecycle

GitHub

19k stars
303 watching
4k forks
Language: Python
last commit: 6 days ago
Linked from 3 awesome lists

aiapache-sparkmachine-learningmlmlflowmodel-management

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
mlrun/mlrun A platform for managing and deploying machine learning workflows across the application lifecycle 1,446
dotnet/machinelearning A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. 9,035
netflix/metaflow A platform that enables scientists and engineers to build, deploy, and manage complex data science projects efficiently 8,246
dotnet/machinelearning-samples A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications. 4,490
tensorflow/tensorflow An end-to-end platform for building and deploying machine learning applications 186,382
mlpack/mlpack A C++ machine learning library with bindings to other languages and bindings for multiple programming languages. 5,113
tensorflow/tfjs An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. 18,495
ml5js/ml5-library Makes machine learning algorithms accessible to web developers 6,494
mlreef/mlreef A platform for collaboration, data management, and reproducibility in machine learning development 1,442
gokumohandas/made-with-ml Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications 37,603
kubeflow/pipelines A tool for building and managing machine learning workflows on Kubernetes. 3,614
runllm/aqueduct An MLOps framework that allows developers to define and deploy machine learning workloads on any cloud infrastructure using a Python native API. 521
omegaml/omegaml An end-to-end MLOps platform that streamlines machine learning development, deployment, and collaboration. 95
kubeflow/kubeflow An ecosystem of Kubernetes-based components for each stage in the AI/ML lifecycle 14,386
datatalksclub/mlops-zoomcamp Teaches practical aspects of productionizing ML services 11,154