Midjourney and OpenAI give you access to image generators which create images based on key words in a text prompt. To access Dall-E2 you need to pay money. The tools of Midjourney are no longer free because they have been misused. OpenArt offers you a free service – but the images are public domain. So, some days ago I asked… Read More »Prompt based image generation with Stable Diffusion on a TI 4060 ?!
Machine Learning on a Linux system is no fun without a GPU and its parallel processing capabilities. On a system with a Nvidia card you need basic Nvidia drivers and additional libraries for optimal support of Deep Neural Networks and Linear Algebra operations on the GPU sub-processors. E.g., Keras and Tensorflow 2 [TF2] use CUDA and cuDNN-libraries on your Nvidia… Read More »Installation of CUDA 12.3 and CuDNN 8.9 on Opensuse Leap 15.5 for Machine Learning
As you read this post you are probably interested in Machine Learning [ML] and hopefully in Linux systems as a ML-platform as well. This post series wants to guide you over a bridge between the standard tool-set of Python3 notebooks in Jupyterlab for the control of ML-algorithms and graphical Qt-applications on your Linux desktop. The objective is to become more… Read More »Using PyQt with QtAgg in Jupyterlab – IV – simple PyQt and MPL application with background worker and receiver threads
We can use PyQt to organize output of Machine Learning applications in Qt-windows outside of Jupyterlab notebooks on a Linux desktop. PyQt also provides us with an option to put long running Python code as ML training and evaluation runs into the background of Jupyterlab and redirect graphical and text output to elements of Qt windows. Moving long lasting Python… Read More »Using PyQt with QtAgg in Jupyterlab – III – a simple pattern for background threads