We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
Posts on Jupyterlab
As my readers know I presently study how to work with background jobs for plot and information updates in Jupyterlab. The reason for this endeavor is that I want to organize my work with ML- training and long evaluation runs a bit differently in the future. In particular I want to have the freedom of working in other regions (other… Read More »Using PyQt with QtAgg in Jupyterlab – I – a first simple example
The work on this post series has been delayed a bit. One of my objectives was to use background jobs to directly redraw or to at least trigger a redrawing of Matplotlib figures with backends like Qt5Agg. By using background jobs I wanted to circumvent a blocking of code execution in other further Juypter notebook cells. This would to e.g.… Read More »Jupyterlab, matplotlib, dynamic plots – II – external Qt-windows and figure updates from foreground jobs
When we work with Deep Neural Networks on limited HW-resources we must get an overview over CPU- and VRAM-consumption, training progress, change of metrical variables of our network models, etc. Most of us will probably want to see the development of our system- and model-related variables in a graphical way. All of this requires dynamic plots, which are updated periodically… Read More »Jupyterlab, matplotlib, dynamic plots – I – relevant backends