Pipe Libraries

Jina provides a smooth Pythonic experience for serving ML models transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Jina makes…

With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date. Here is an example o…

We believe it's time to remove all those abstractions and come back to our roots. Are you tired of writing endless lines of YAML-code? Are you sick of spending days forced to write in a language that…

Click this link to open the repo in a Gitpod Workspace: Create or edit notebooks with We're building a community. Come hang out with us! We believe that the tools we use shape the way we think — bett…

A simple YAML API to get started quickly, a powerful Python API for total flexibility. Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last…

  Taipy is designed for data scientists and machine learning engineers to build full-stack apps.         To install Taipy stable release run:   Below is our filter function. This is a typical Python …

These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: From here, you can quickly log a dataset: And there you have it, you now…

A procedural Blender pipeline for photorealistic rendering. The simplest way to install blenderproc is via pip: Alternatively, if you need to make changes to blenderproc or you want to make use of th…

This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. It has a number of baked-in assumptions/ principles: Data integration pipeline…

Why it is better than all other tools: Features: First of all, install DepHell and activate autocomplete: Now, let's generate some useful files: It will make setup.py and README.rst from pyproject.to…

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

Provides up-to-date data about Coronavirus outbreak. Includes numbers about confirmed cases, deaths and recovered. Support multiple data-sources. Currently 3 different data-sources are available to r…

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

Supercharge your SaaS development with our comprehensive starter kit, designed to accelerate your project and save you valuable time and resources. Our battle-tested boilerplate eliminates the need f…

Soda Core is a free, open-source, command-line tool that enables you to use the Soda Checks Language to turn user-defined input into aggregated SQL queries. When it runs a scan on a dataset, Soda Cor…

Pipeline Consists of various modules: EMR - I used a 3 node cluster with below Instance Types: Finally, pyspark uses python2 as default setup on EMR. To change to python3, setup environment variable…

Hamilton is a novel paradigm for specifying a flow of delayed execution in python. It works on python objects of any type and dataflows of any complexity. Core to the design of Hamilton is a clear ma…

Alternatively, you can install by: The output of the application is an annotated video: A flow application usually consists of three parts: In the first part of the application you define a directed …

The general purpose micro-framework for creating dataflows from python functions! Specifically, Hamilton defines a novel paradigm, that allows you to specify a flow of (delayed) execution, that forms…

If that sounds like a lot, don't worry. After you cover this course, you will understand everything we said before. Most importantly, you will know WHY we used all these tools and how they work toget…

(or The Project Formerly Known As DeepBackSub) backscrub is licensed under the Apache License 2.0. See LICENSE file for details. First, load the v4l2loopback module (extra settings needed to make Chr…

Covalent is a Python library for AI/ML engineers, developers, and researchers. It provides a straightforward approach to running compute jobs, like LLMs, generative AI, and scientific research, on v…

nodejs7.com Windows平台开发如何能够更快捷，更舒适，请 Windows 的看官务必读一下这篇： 注意： 本项目仅限于学习 感谢阁下的star，感谢关注此项目！ 请读者自行百度并安装 Copyright (c) 2019 Copyright Holder All Rights Reserved.

Pipeless is inspired by modern serverless technologies. You provide some functions and Pipeless takes care of executing them for new video frames and everything involved. With Pipeless you create se…

or: Alternatively, you could clone and run setup.py file: Initialize a group of classifiers as base estimators Initialize, fit, predict, and evaluate with Stacking See a sample output of classifier_s…

pypyr is a free & open-source task-runner that lets you define and run sequential steps in a pipeline. Like a turbo-charged shell script, but less finicky. Less annoying than a makefile. pypyr ru…

This project provides a working, open source based, AWS Lambda handler skeleton Python code including DEPLOYMENT code with CDK and a pipeline. This project can serve as a template for new Serverless …