This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for ...

The Large Language Models (LLMs), such as GPT and BERT, were proposed for natural language processing (NLP) and have shown promising results as general-purpose language models. An increasing number of ...

Since the “resolution revolution” (Kühlbrandt, 2014), single particle electron cryomicroscopy (cryo-EM) has established itself as a prime tool for determining the three dimensional structure of ...

This dataset contains six types of Phi-OTDR events, including background noises, digging, knocking, shaking, watering and walking, in total of 15,419 samples. The data is divided into training set and ...

An array in Java is a type of variable that can store multiple values. It stores these values based on a key that can be used to subsequently look up that information. Arrays can be useful for ...

High-resolution multipoint simultaneous structure–function analysis is becoming of great interest in a broad spectrum of fields for deciphering multiscale dynamics, especially in biophysics and ...

Large datasets are becoming more and more common in science, particularly in neuroscience where experimental techniques are rapidly evolving. Obtaining interpretable results from raw data can ...