Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...

Simple web interface to visualize temperature and humidity data from a CSV file. Users can upload a CSV log file and get a rendered graph using matplotlib directly in their browser.

Abstract: Recently, there has been increasing interest in developing and deploying deep graph learning algorithms for various tasks, such as fraud detection and recommender systems. However, there is ...

Q. I work with large spreadsheets. These spreadsheets have hundreds or even thousands of rows and often 10 or more columns. It’s so much to process that I become confused and make mistakes. Does Excel ...

What is the current behavior? Version 3.0 has significantly degraded performance on larger datasets when bar charts are present. In the provided example if you remove the bar chart, the performance is ...

To use stunts on the defensive line in College Football 26, you will need to follow a few easy steps. Navigate to what play you are planning to call while in the defensive huddle, making sure you ...

On the CMeEE dataset, GPT-4.0 achieved an F1-score of 65.42 using few-shot learning, surpassing traditional models such as BERT-CRF (62.11) and Med-BERT (60.66). Building upon this, we compiled a ...

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...

Jupyter Notebooks are a powerful open-source tool that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data ...

Large language model (LLM) post-training focuses on refining model behavior and enhancing capabilities beyond their initial training phase. It includes supervised fine-tuning (SFT) and reinforcement ...