cascade
MLOps toolset
A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle
Lightweight and modular MLOps library targeted at small teams or individuals
22 stars
1 watching
1 forks
Language: Python
last commit: 4 days ago
Linked from 1 awesome list
experiment-trackingfeature-selectionmachine-learningmlml-experimentationmlopsmodel-lifecyclemodel-selection
kelvins/awesome-mlopsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 omegaml/omegaml | An end-to-end MLOps platform that streamlines machine learning development, deployment, and collaboration. | 95 |
 aronchick/mlops-pipeline | Automates the end-to-end machine learning workflow from code commit to model deployment | 18 |
 polyaxon/polyaxon | A platform for managing and orchestrating the machine learning lifecycle | 3,571 |
 star-whale/starwhale | An MLOps platform providing tools and services for efficient machine learning development and deployment | 208 |
 tdcox/mlops-roadmap | Collaborative effort to define and document the key milestones and strategies for adopting and implementing Machine Learning Operations (MLOps) practices in software development | 16 |
 oval-group/mlogger | A lightweight logger for machine learning experiments | 127 |
 seldonio/tempo | An MLOps Python library that enables data scientists to deploy and orchestrate machine learning pipelines for production-ready inference. | 116 |
 mlrun/mlrun | A platform for managing and deploying machine learning workflows across the application lifecycle | 1,446 |
 visenger/mlops | Provides end-to-end examples and solutions for operationalizing ML workflows with Azure Machine Learning | 3 |
 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 |
 combust/mleap | Enables deployment of machine learning data pipelines and algorithms to production | 1,504 |
 ibm-cloud-architecture/refarch-ml-ops | A reference architecture and starter kit for operationalizing machine learning models in production environments. | 37 |
 okerew/okrolearn | A Python machine learning library providing efficient array operations and neural network functionality | 3 |
 minyus/pipelinex | A Python package to build and experiment with machine learning pipelines using Kedro, MLflow, and other tools | 224 |
 ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,434 |