Pipeline Framework

Neuraxle - A general-purpose ML pipelining frameworkPython

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.

ModularPipelinesC#

Write CI/CD pipelines in C# with local debugging, compile-time safety, and automatic parallelization.

open-solution-home-creditPython

An open-source machine learning solution for the Home Credit Default Risk Kaggle competition, providing reproducible code and experiments.

opusElixir

A framework for building pluggable, composable business logic pipelines in Elixir.

DatasetPython

A Python library for building lazy data processing and machine learning workflows that handle datasets larger than memory.

machineGo

A Go library for building data processing workflows and pipelines with functional operations, cycles, and fan-out capabilities.

open-solution-salt-identificationPython

An open-source benchmark solution for the Kaggle TGS Salt Identification Challenge using semantic segmentation.

open-solution-googleai-object-detectionPython

An open-source solution for the Google AI Open Images Object Detection Challenge, providing a RetinaNet-based benchmark with experiment tracking.

nnstreamer-rosC++

NNStreamer extension plugins that enable neural network pipelines to integrate with ROS and ROS2 for robotics applications.