mlplatform-workshop
ML Platform
An open-source project providing a basic framework for building a full-fledged machine learning platform.
🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
434 stars
12 watching
68 forks
Language: TypeScript
last commit: about 3 years ago devopsmachine-learningmlops
Related projects:
Repository | Description | Stars |
---|---|---|
aporia-ai/mlnotify | Automated notification system for machine learning model training | 343 |
omegaml/omegaml | A platform for simplifying Machine Learning Operations (MLOps) by providing tools for model deployment, data pipelines, and collaboration. | 95 |
mlreef/mlreef | A platform for collaboration, data management, and reproducibility in machine learning development | 1,441 |
h2oai/h2o-3 | An in-memory machine learning platform that supports various algorithms and provides tools for building, deploying, and scaling machine learning models | 6,936 |
a3data/hermione | A framework for simplifying machine learning development and deployment | 207 |
star-whale/starwhale | An MLOps platform providing tools and services for efficient machine learning development and deployment | 214 |
logicalclocks/hopsworks | A platform for managing machine learning data and workflows, integrating feature engineering, governance, and model serving capabilities. | 1,171 |
h2oai/article-information-2019 | A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications. | 13 |
caraml-dev/merlin | A platform for deploying and serving machine learning models in a scalable, cost-efficient, and easy-to-use manner | 168 |
mlrun/mlrun | A platform for managing and deploying machine learning workflows across the application lifecycle | 1,451 |
ibm-cloud-architecture/refarch-ml-ops | A reference architecture and starter kit for operationalizing machine learning models in production environments. | 37 |
google/praxis | A library designed to be usable by other JAX-based ML projects, providing optimized layers for machine learning at scale. | 177 |
googlecloudplatform/mlops-on-gcp | Provides resources and patterns for implementing machine learning workflows on Google Cloud Platform | 782 |
polyaxon/polyaxon | A platform for managing and orchestrating the machine learning lifecycle | 3,573 |
jeff1evesque/machine-learning | A web-based platform for machine learning algorithms and data visualization using JavaScript, providing both a graphical interface and an API. | 258 |