If you are interested in programming embedded machine learning, we have Codecraft visual programming that can help you quickly start your own TinyML project. And we have set up a #tinyml channel on our Discord server, please click to join for 24/7 making, sharing, discussing, and helping eac...
Repository including all of the mini-project's that will be a part of my master's thesis. The idea is to find unusual AI/ML applications and implement them. The collective of this work will later be summarised in my Master's Thesis - MilkSilk/masters_the
The code in this project implements and tests a basic PACS with the following architecture:[ Orthanc Repository (Open Source component) ] | | (DICOM Images) <---> [ OHIF Viewer (Open Source component) ] v [ Fulmine-Labs-Mini-PACS - Data Setup Script ] | | (Metadata and generated imag...
On the other hand, experiential learning theory views learning as a process whereby concepts are derived from and are continuously modified by experience, that is, “ideas are not fixed and immutable elements of thoughts but are formed and re-formed through experience” (Kolb, 2014, p. 26). ...
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While many AI and machine learning workloads run on GPUs, there’s a crucial distinction between GPUs and NPUs. GPUs are known for their parallel computing capabilities, but not all GPUs are equally efficient beyond processing graphics. NPUs, on the oth...
The board's compatibility with various operating systems, including Kali Linux, ensures that developers have the flexibility to choose the environment that best suits their project needs. The LuckFox Pico series is not just a board; it's a gateway to innovation and creativity, empowering ...
A2 STEAM’s 6th grade percussion group set to task on rebuilding a set of orchestra bells that were in horrible disrepair. They will be on hand to show us just how they tackled this project. All Hands Active will be at the faire once again along with Maker Works, the Lansing Maker Net...
as employed in deep learning, have better scaling properties. In this work, we adapt, apply, and benchmark mini-batch optimization for ordinary differential equation (ODE) models, thereby establishing a direct link between dynamic modelling and machine learning. On our main application example, a ...
The project Machine Learning CLassiFication (MLclf) Training the full imagenet dataset (1k classes) needs a high computational resource, it is usually hard to quickly check your model on your local or personal computer. The mini-imagenet (100 classes) and tiny-imagenet (200 classes) are way...