COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: The Github Hitrub

This collection is a set of Github repository archives from two major sets: A panic grab upon the acquisition by Microsoft, and a larger, ongoing set of Pretty Much Everything.

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20201205143004/https://github.com/elliebirbeck/model-deployment-flask

elliebirbeck / model-deployment-flask

'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev

blog.hyperiondev.com/index.php/2018/02/01/deploy-machine-learning-model-flask-api/

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README.md

Source code for the tutorial 'Deploying a machine learning model with a Flask API' written for HyperionDev.

In this tutorial we take the image classification model built in model.py which recognises Google Street View House Numbers. Using Flask to create an API, we can deploy this model and create a simple web page to load and classify new images.

To run locally:

Install pip and Python 3
Clone this repository git clone https://github.com/elliebirbeck/model-deployment-flask.git
Navigate to the working directory cd model-deployment-flask
Install the Python dependencies pip install -r requirements.txt
Run the API python api.py
Open a web browser and go to http://localhost:8000