A collection of spouts, bolts, serializers, DSLs, and other goodies to use with Storm
Role in this project:
ML Engineer Contributions:20 commits in 1 month
Contributions summary:Michael's contributions centered on building a machine learning library on top of Storm. They initialized a Clojure project, implemented a perceptron model including an evaluation bolt and a training spout and bolt. The user also refactored and enhanced the perceptron topology with features like bias, threshold, and error reporting, creating a complete training and evaluation pipeline. Furthermore, they integrated a CSV output feature for the evaluated results.
serializersstormboltsgoodiesdsls
A professional front-end template for building fast, robust, and adaptable web apps or sites.
Role in this project:
DevOps Engineer Contributions:10 commits in 26 days
Contributions summary:Michael primarily focused on improving the build process and project setup scripts within the HTML5 Boilerplate project. Their commits addressed issues in the `createproject.sh` script, fixing quoting, changing variable capitalization, and updating the script's overall robustness. The user also made changes to ensure the script functions correctly by adding checks for dependencies and protecting against potential errors during the project creation process.
frontendhtml5-boilerplatehtml5javascriptcss