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 ?!
People working on Linux PCs with Tensorflow 2 [TF2] and CUDA may be confronted with warnings complaining a lack of an assignment of their Nvidia graphics card to a NUMA node. This is somewhat enervating as depending on the TF2 version a default entry of “-1” for the NUMA on consumer systems may clatter some of your Jupyter notebook cells… Read More »Setting NUMA node to 0 for Nvidia cards on standard Linux PCs
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