In this category, all projects are listed that have required major efforts and, in some cases, several hours of work.
Some posts are still being actively updated, as these projects are not finished yet due to lack of time or material.
Oh yeah, the chip crisis is real!
An in-depth analysis of pre-release firmware differences between the FLSUN S1 and S1 Pro models, highlighting substantial improvements in AI functionality, print monitoring, and system automation.
This comprehensive guide explains how to upgrade the memory on an IBM PC XT motherboard, specifically focusing on expanding it to a maximum of 1MB. It covers various aspects of the process, including introducing the upgrade project, listing the required components, explaining the concept of high memory in vintage computing, providing step-by-step installation instructions, detailing the replacement of the IC U44 with a GAL chip, and exploring different memory configurations and SW2 settings. The guide also includes essential circuit details and considerations for clones and XT-compatible systems.
This comprehensive guide explains how to upgrade the memory on an IBM PC XT motherboard, specifically focusing on expanding it to a maximum of 1MB. It covers various aspects of the process, including introducing the upgrade project, listing the required components, explaining the concept of high memory in vintage computing, providing step-by-step installation instructions, detailing the replacement of the IC U44 with a GAL chip, and exploring different memory configurations and SW2 settings. The guide also includes essential circuit details and considerations for clones and XT-compatible systems.
Introduction The resulting model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.7695 Accuracy: 0.7275 The Microsoft Swin-Tiny Transformer used in this project is a deep learning model architecture designed for computer vision tasks. It is a smaller variant of the Swin Transformer family and is known for its efficiency and high performance in image classification and other vision tasks.