549 Open source projects that are alternatives of or similar to k3ai

A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)

Blog post on ETL pipelines with Airflow

The Kubernetes Operator for Netris

Udacity Data Engineering Nano Degree (DEND)

Managing machine learning life-cycle with MLflow tutorial

Slack bot for monitoring your Metaflow flows!

Terraform provider for UpCloud

Automate code & data workflows with interactive Elixir notebooks

R package of colour palettes based on Metallica studio album covers.

Código para workshops Spark com ambiente de desenvolvimento em docker

DevOps, Cloud Native, Hybrid Cloud, Open Source, industry news, culture, and the ‘ish between.

Airflow training for the crunch conf

支持百度竞赛数据的中文事件抽取，支持ace2005数据的英文事件抽取，本人将苏神的三元组抽取算法中的DGCNN改成了事件抽取任务，并将karas改成了本人习惯使用的pytorch，在数据加载处考虑了各种语言的扩展

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🎲 A curated list of MLOps projects, tools and resources

YT metadata exporter

Acceptance testing your AMIs

Volunteers building and sharing current, accurate, near real-time COVID-19 tracking and prediction tools.

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Coarse-grained lineage and tracing for machine learning pipelines.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Curated list of resources about Apache Airflow

Apache Airflow Website

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Terraform module to deploy an Apache Airflow cluster on AWS, backed by RDS PostgreSQL for metadata, S3 for logs and SQS as message broker with CeleryExecutor

📖 [译] Airflow 中文文档

[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

Airflow Deployment on AWS ECS Fargate Using Cloudformation

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

Managing multiple environments with Terraform made easy

afctl helps to manage and deploy Apache Airflow projects faster and smoother.

Population assignment analysis using R

Apache Airflow in Docker Compose (for both versions 1.10.* and 2.*)

Real Time Twitter Sentiment Analysis Product

Bitnami Docker Image for Apache Airflow

A way for home buyers to know about factors affecting a state

Example end to end data engineering project.

The de facto standard for people who are looking to learn Dyalog APL from a book. This updated version is a work in progress.

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

Kedro-Airflow makes it easy to deploy Kedro projects to Airflow.

github actions stuff

ETLy is an add-on dashboard service on top of Apache Airflow.

Quick and Easy server testing/validation

Template for Spring Boot applications

This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.

Airflow workflow management platform chef cookbook.

A distributed workflow runner focusing on performance and simplicity.

Repositório dedicado a armazenar notebooks feitos para o treinamento interno do Grupo Turing da Universidade de São Paulo e para a Árvore de Habilidades do mesmo grupo.

Any Airflow project day 1, you can spin up a local desktop Kubernetes Airflow environment AND one in Google Cloud Composer with tested data pipelines(DAGs) 🖥 >> [ 🚀, 🚢 ]

Workflow engine for Kubernetes

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Flask-AppBuilder SecurityManager for OpenIDConnect

Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3

Bare minimal Airflow on Kubernetes (Local, EKS, AKS)

Continuously synchronize directories from remote object store to local filesystem

Repo for building docker based airflow image. Containers support multiple features like writing logs to local or S3 folder and Initializing GCP while container booting. https://abhioncbr.github.io/docker-airflow/

Serving PyTorch models with TorchServe 🔥