pipeline-framework

Cross-platform, customizable ML solutions for live and streaming media.

A DSL for data-driven computational pipelines

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

An open-source computer vision framework to build and deploy apps in minutes

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

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.

Open solution to the Home Credit Default Risk challenge 🏡

Efficient ML solution for long-tailed demands.

Framework of fast implementation data processing and operating pipelines

Open solution to the Mapping Challenge 🌎

Write your pipelines in C# !

Lightweight fast function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪

Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

Function Composition for OpenFaaS

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

🔀 FluentMediator is an unobtrusive library that allows developers to build custom pipelines for Commands, Queries and Events.

Relational data pipelines for the science lab

Machine is a workflow/pipeline library for processing data

Open solution to the TGS Salt Identification Challenge

A lightweight, distributed workflow system