pipeline-framework

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

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

Open solution to the Home Credit Default Risk challenge 🏡

Open solution to the Mapping Challenge 🌎

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.

CNStream is a streaming framework for building Cambricon machine learning pipelines http://forum.cambricon.com https://gitee.com/SolutionSDK/CNStream

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

Open solution to the TGS Salt Identification Challenge

Relational data pipelines for the science lab

Machine is a workflow/pipeline library for processing data

Package strit introduces a new type of string iterator, along with a number of iterator constructors, wrappers and combinators.

Vent is a light-weight platform built to automate network collection and analysis pipelines using a flexible set of popular open source tools and technologies. Vent is python-based, extensible, leverages docker containers, and provides both an API and CLI.

pipen - A pipeline framework for python

Easy to use Pytorch

Lightweight library for composing chain of responsibility pipelines

A lightweight, distributed workflow system

Open solution to the Google AI Object Detection Challenge 🍁

C++ library for defining and controlling modern GPU rendering/processing operations.

Open solution to the Santander Value Prediction Challenge 🐠

AlphaSQL provides Integrated Type and Schema Check and Parallelization for SQL file set mainly for BigQuery

COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds.

The General-Purpose Cross-Language Dataflow Programming

a web system to allow users to automatically record history and manage complicated scientific workflows in web browsers involving the online spatial data facilities, high-performance computation platforms, and open-source libraries.

Curated set of transformers that make your work with steppy faster and more effective 🔭