Neuraxle
Pipeline framework
A machine learning pipeline library that enables the creation of modular and reusable data processing workflows
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
610 stars
19 watching
62 forks
Language: Python
last commit: over 1 year ago
Linked from 6 awesome lists
deep-learningframeworkhyperparameter-optimizationhyperparameter-searchhyperparameter-tuninghyperparametersmachine-learningneuraxleparallelpipelinepipeline-frameworkpython-libraryscikit-learn
josephmisiti/awesome-machine-learning
christoschristofidis/awesome-deep-learning
ethicalml/awesome-production-machine-learning
guillaume-chevalier/awesome-deep-learning-resources
se-ml/awesome-semlRelated projects:
| Repository | Description | Stars |
|---|---|---|
| neuraxio/neuraxle-tensorflow | Provides utility functions and abstractions for building machine learning models using TensorFlow | 4 |
 valeriobasile/learningbyreading | A software framework for building NLP and entity linking pipelines with semantic parsing, word sense disambiguation, and entity linking capabilities. | 82 |
 m3dev/gokart | A framework that solves common problems in machine learning pipeline development and provides an environment for reproducibility and team collaboration. | 319 |
 minyus/pipelinex | A Python package to build and experiment with machine learning pipelines using Kedro, MLflow, and other tools | 226 |
| neuraxio/kata-clean-machine-learning-from-dirty-code | Converting dirty machine learning code into clean, modular, and reusable components using the Pipe and Filter Design Pattern for Machine Learning. | 18 |
 google/paxml | A framework for configuring and running machine learning experiments on top of Jax. | 461 |
 catalyst-team/neuro | A 3D brain segmentation pipeline using Python and the Catalyst framework. | 19 |
 tensorflow/tfx | An end-to-end platform for deploying production machine learning pipelines | 2,121 |
 nextflow-io/rnaseq-nf | A pipeline for quantifying genomic features from short read data using Nextflow and various software components. | 74 |
 hadrieng/pipelines | A collection of reusable computational pipelines for bioinformatics tasks. | 2 |
 paysure/orinoco | A functional composable pipeline framework for Python that separates business logic from implementation. | 11 |
| google/praxis | A library designed to be usable by other JAX-based ML projects, providing optimized layers for machine learning at scale. | 178 |
 datacanvasio/hypergbm | Automated machine learning tool for tabular data pipelines | 343 |
 biocorecrg/bionextflow | A collection of reusable modules and sub-workflows for Nextflow pipelines in bioinformatics | 26 |
 mara/mara-pipelines | A lightweight ETL framework providing a simple way to define and execute data transformation pipelines using declarative Python code. | 2,082 |