#Pipeline-framework
Showing 18 of 18 repositories tagged #pipeline-framework, ranked by stars
Cross-platform, customizable ML solutions for live and streaming media.
A DSL for data-driven computational pipelines
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.
Framework of fast implementation data processing and operating pipelines
Open solution to the Home Credit Default Risk challenge :house_with_garden:
Efficient ML solution for long-tailed demands.
Open solution to the Mapping Challenge :earth_americas:
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.
boost data pipeline's tangibility, enhance research productivity, reduce work anxiety
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.
Open solution to the Google AI Object Detection Challenge :maple_leaf:
A framework for rapid development of robust data pipelines following a simple design pattern
This repository contains a entire process for developing an Automatic License Plate Recognition (ALPR) system using mainly Nvidia TAO Toolkit and Nvidia Deepstream SDK using the Python Bindings.