With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...

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 ...

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 ...

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, ...

VAR models analyse and predict multivariate time series data, unlike univariate autoregressive models. These models are particularly useful in fields such as economics and weather forecasting. Vector ...