Background: Sleep disturbances are a widespread public health concern among nursing and healthcare students globally, with consequences for academic performance, mental health, and long-term ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

#!/usr/bin/python import os from langfuse import Langfuse from urllib.parse import quote # zouding-org os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-xxx" os.environ ...

YoloLint is a Python tool for validating the structure and annotations of YOLO datasets. It helps detect common issues in directories, YAML files, and label files before model training.

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

GNSS (Global Navigation Satellite System) plays an increasingly important role in the automotive industry to enable new infotainment and autonomous driving applications. To ensure the required quality ...

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...