⚙️ Component: Connect essential building blocks to construct powerful pipelines. What can you build? 📖 Parsing PDF Files to Markdown: Cookbook 🧱 Generating Structured Outputs from LLMs: Cookbook & Tutorial 🕸️ Web scraping & Google Search with Structured Insights 🌱 Instance segmentat...
A Python library for building data applications: ETL, ML, Data Pipelines, and more. - GitHub - flowersw/dagster: A Python library for building data applications: ETL, ML, Data Pipelines, and more.
When you are building complex data pipelines where one job depends on another job, it’s important to share the state information between different AWS Glue jobs. This section describes how to share state between chained jobs in an AWS Glue workflow. ...
Intermediate knowledge of an object-oriented language and basic knowledge of a functional programming language, as well as basic experience with a JVM Understanding of classic web architecture and service-oriented architecture Basic understanding of ETL, streaming data, and distributed data architectures ...
Job Title: Deploy AI-Based Hair Try-On Feature with GPU on AWS (30GB Project) Project Description: We are building an advanced AI-based 2D Hair Try-On feature that detects and overlays wigs/hair extensions on the user's face using deep learning models developed in Python with PyTorch. The...
A Python library for building data applications: ETL, ML, Data Pipelines, and more. - pedronauck/dagster
A Python library for building data applications: ETL, ML, Data Pipelines, and more. - boltsource/dagster
P4: Portable Parallel Processing Pipelines for Interactive Information Visualization. IEEE Trans. Vis. Comput. Graph. 2020, 26, 1548–1561. [CrossRef] 50. Niu, S.; Pan, W.; Zhao, Y. A BIM-GIS Integrated Web-based Visualization System for Low Energy Building Design. Procedia Eng. 2015, ...
A Python library for building data applications: ETL, ML, Data Pipelines, and more. - GitHub - tinkerware/dagster: A Python library for building data applications: ETL, ML, Data Pipelines, and more.
A Python library for building data applications: ETL, ML, Data Pipelines, and more. - bradleyfay/dagster