aqueduct

Cloud ML framework

An MLOps framework that allows developers to define and deploy machine learning workloads on any cloud infrastructure using a Python native API.

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

GitHub

520 stars
9 watching
18 forks
Language: Go
last commit: over 3 years ago
Linked from 1 awesome list

aidatadata-sciencekubernetesllmllmsmachine-learningmlml-infrastructureml-monitoringmlopsorchestrationpythonpython3

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
mlrun/mlrunA platform for managing and deploying machine learning workflows across the application lifecycle1,458
h2oai/h2o-3An in-memory machine learning platform that supports various algorithms and provides tools for building, deploying, and scaling machine learning models6,950
star-whale/starwhaleAn MLOps platform providing tools and services for efficient machine learning development and deployment214
oxid15/cascadeA lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle22
lightforever/mlcompA distributed framework for building and managing complex machine learning pipelines with a user-friendly interface.188
hydrospheredata/hydro-servingA MLOps platform for deploying and versioning machine learning models in production.271
omegaml/omegamlAn MLOps platform providing tools and services to deploy, collaborate and manage machine learning models and data pipelines in a simplified way96
combust/mleapEnables deployment of machine learning pipelines from Spark and Scikit-Learn to production1,506
ibm-cloud-architecture/refarch-ml-opsA reference architecture and starter kit for operationalizing machine learning models in production environments.37
caraml-dev/merlinA platform for deploying and serving machine learning models in a scalable, cost-efficient, and easy-to-use manner168
aronchick/mlops-pipelineAutomates the end-to-end machine learning workflow from code commit to model deployment18
pmerienne/trident-mlA real-time online machine learning library built on top of Storm and Trident.381
ai-hypercomputer/maxtextA high-performance LLM written in Python/Jax for training and inference on Google Cloud TPUs and GPUs.1,557
raymo111/raymo111A suite of tools for building and deploying cloud-native machine learning models with ease219
mlreef/mlreefA platform for collaboration, data management, and reproducibility in machine learning development1,440