That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

Small. With bf16/fp16 (supported by native pytorch), our baseline could be trained with only 2GB GPU memory. Friendly. You may use the off-the-shelf options to apply many state-of-the-art tricks in ...

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Last week, I watched a junior developer's eyes light up as their first AI model correctly identified a cat in a photo with 94% accuracy. That moment reminded me why I fell in love with machine ...

After checking out Radxa Fogwise Airbox hardware in the first part of the review last month, I’ve now had time to test the SOPHGO SG2300x-powered AI box with an Ubuntu 20.04 Server image preloaded ...

This repository runs hyperparameter optimization on tuning pretrained models from the PyTorch model zoo to classify images of cars in the Stanford Cars dataset. This repository offers the option to ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...

Deep learning architectures for the classification of images have shown outstanding results in a variety of disciplines, including dermatology. The expectations generated by deep learning for, e.g., ...

We are excited to announce the general availability of SQL Server 2017 and Machine Learning Services. You can start using Python-based in-database Machine Learning Services for production usage now.