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
19k stars
303 watching
4k forks
Language: Python
last commit: 6 days ago
Linked from 3 awesome lists
aiapache-sparkmachine-learningmlmlflowmodel-management
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 |