Search Results for "project code for cloud computing"

...The rise of serverless has enabled cloud native to advance from the infrastructure layer to the application architecture layer. We are in a cloud native The new era of 2.0. Kubernetes is a container orchestration and scheduling engine developed by Google in June 2014 based on its internal Borg system. Google contributed it as an initial and core project to the CNCF (Cloud Native Computing Foundation).

The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training, and deployment. ...

Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs...

Bridge Designer has been replaced with the web app ASCE Bridge Designer, Cloud Edition. Binaries posted here will go away on 1 July 2026. The source repo will remain. A national virtual bridge engineering contest with prizes for middle and high school kids, grades 6 to 12, but anyone can enter for fun. Based on the award-wining Bridge Designer client software, now open source through this project. Web site infrastructure supports worldwide participation in qualifying and semifinal rounds...

...Each notebook mixes short explanations with executable code cells, encouraging readers to run, modify, and experiment with examples as they go. The project also backs a free O’Reilly report and an online version of the book, making it easy to read in the browser or work locally with the notebooks.