jordimassaguerpla
Web interface for gems-status
an invention by jordimassaguerpla
Gems-status (http://github.com/jordimassaguerpla/gems-status) is a command line tool that creates a report about the gems used in an appliacation. The most import result is the security alerts. However, this tool is being configured using a yaml file, which has to be updated with new information every time there is a security alert.
hack bundler-audit
a project by jordimassaguerpla
bundler-audit is an open source that scans you Gemfile.lock (if you program with ruby) for known vulnerabilities. Let's take the list of issues and enhancements and fix as much as possible
updating rpms in docker containers
a project by jordimassaguerpla
The docker way of updating containers is to build a new image with the updated binaries and files, which creates a security concern. The docker way is not anymore running "zypper update" in the containment but to update the whole image in the image registry (hub docker if we are talking about public registry) and then pull the image update from there, stop the outdated containments and replace them by starting new containments based on the new image.
how to speed up adsl connections with a smart mini router
a project by jordimassaguerpla
Remote working makes you face some "challenges" regarding networking setup. One of them can be reproduced as: 1- download a big file
Some research on HA and proxies and mirrors
an idea by jordimassaguerpla
Description of the problem: There is a website which we want it to be Available even in the following situations:
Architecting a Machine Learning project with SUSE CaaSP
an invention by jordimassaguerpla
The goal of this project is to get an overview of the state-of-the-art technology on training and deploying machine learning projects with kubernetes and apply that to a SUSE CaaSP cluster. With that in mind, we will train and deploy a model for summarizing github issues:
Packaging libnvidia-containers and nvidia-container-runtime-hook
an invention by jordimassaguerpla
This is a follow up to https://hackweek.suse.com/projects/architecting-a-machine-learning-project-with-suse-caasp. In the last hackweek I learned that in order to run machine learning workflows on top of SUSE CaaSP, the missing piece is to have libnvidia-containers and nvidia-containers-runtime-hook packaged.
Colorizing old images on my NAS (or run machine learning deoldify algorithm on an edge TPU)
an invention by jordimassaguerpla
For my 40th birthday I got from my friends a very special present, an USB Accelerator that brings machine learning inferencing to existing systems: https://coral.ai/products/accelerator
Predictive test selection for SUSE Manager
an idea by jordimassaguerpla
I once had a bad dream. I started good, a sunny day. I had just fixed an issue and push it to my fork, in order to create a Pull Request. I was happy. It felt awesome to have found a fix so elegant. Two lines of code.
Face recognition on nextcloud with TPU
an idea by jordimassaguerpla
Project Description
I have all my photos on a private NAS running nextcloud.
Chest X-Ray Medical Diagnosis with Deep Learning and Javascript
an invention by jordimassaguerpla
Project Description
The outcome of this project will be a static web page that can be used to diagnose different diseases based on a Chest X-Ray.
Hack on project MONAI (Medical Open Network for Artificial Intelligence)
an invention by jordimassaguerpla
Project Description
MONAI is a set of open-source, freely available collaborative frameworks built for accelerating research and clinical collaboration in Medical Imaging. The goal is to accelerate the pace of innovation and clinical translation by building a robust software framework that benefits nearly every level of medical imaging, deep learning research, and deployment.
Package MONAI Machine Learning Models for Medical Applications
an invention by jordimassaguerpla
Project Description
MONAI Deploy aims to become the de-facto standard for developing packaging, testing, deploying, and running medical AI applications in clinical production. MONAI Deploy creates a set of intermediate steps where researchers and physicians can build confidence in the techniques and approaches used with AI — allowing for an iterative workflow.
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