pipelinex
ML pipeline builder
A Python package to build and experiment with machine learning pipelines using Kedro, MLflow, and other tools
PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
224 stars
6 watching
11 forks
Language: Python
last commit: 12 months ago
Linked from 1 awesome list
data-engineeringdata-sciencedeep-learningexperimentationmachine-learningpipeline
ethicalml/awesome-production-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 tensorflow/tfx | An end-to-end platform for building and deploying machine learning pipelines in production environments. | 2,114 |
 druths/xp | A tool for creating flexible and self-documenting data science pipelines | 56 |
 neuraxio/neuraxle-tensorflow | Provides utility functions and abstractions for building machine learning models using TensorFlow | 4 |
 seldonio/tempo | An MLOps Python library that enables data scientists to deploy and orchestrate machine learning pipelines for production-ready inference. | 116 |
 aronchick/mlops-pipeline | Automates the end-to-end machine learning workflow from code commit to model deployment | 18 |
 mruoss/pluggable | Library to build customizable pipeline structures using Elixir | 18 |
 oxid15/cascade | A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle | 22 |
 sematic-ai/sematic | An open-source platform for building and managing machine learning pipelines with Python | 974 |
 combust/mleap | Enables deployment of machine learning data pipelines and algorithms to production | 1,504 |
| neuraxio/neuraxle | A machine learning pipeline library that enables the creation of modular and reusable data processing workflows | 608 |
 loglabs/mltrace | A tool to help analyze and debug machine learning pipelines by tracking the flow of data and components through the pipeline. | 468 |
 mlrun/mlrun | A platform for managing and deploying machine learning workflows across the application lifecycle | 1,446 |
 kubeflow-kale/kale | Simplifies the deployment of Kubeflow Pipelines workflows by providing a graphical interface for Data Scientists to define and deploy pipelines directly from JupyterLab. | 632 |
 kinto-b/makepipe | A tool for constructing simple pipelines in R with minimal overheads. | 30 |
 python-mario/mario | Tools for executing Python code and building data pipelines in a Unix shell | 507 |