This demo is a result of research conducted in the field of multivariate time series similarities. The goal was to develop a fast and scalable system, able to unsupervisedly find the 5 most similar datapoints for a given reference.
Knowledge graphs in particular are a great tool to flexibly represent complex information, but building one can be a time-consuming process, or can require lots of labelled examples. Enter REBEL designed to tackle these problems, and generate knowledge graphs directly from text.
Our preferred infrastructure is GCP but we also embrace multi cloud and edge setups.
Simulate common OCR errors for Dutch texts and use the finetune the character-based ByT5 model to correct them.
Short tutorial (5 tips in a single document) on how to work with imbalanced datasets.
Have you heard about Connexion? We are convinced of the API-first approach for microservices. It allows us to clearly separate definition and implementation, efficiently collaborate with the stakeholders and reduce applications developing costs. Connexion is a great Python framework and the best choice for our needs. We are very proud to be part of the community and to help move Connexion forward!
CICD and automation in general is part of our development culture. We aim to avoid any manual action when possible which enables delivery of high quality software faster and allows us to focus on solving business problems. We are fans of a code review process. Code review leads to better implementations and more efficient solutions, it helps to find bugs earlier when those are cheaper to fix, as well as to share the experience of senior developers and to improve team cohesion.
GCCP is our command line “Cookie Cutter” tool that can easily replicate boilerplate code for our most used GCP components. GCCP enables boilerplate customization which helps us to adapt the templates for the needs of a specific use case, and then build more custom logic on top. In addition, it generates configuration files for secure infrastructure setup and CICD.
