A new backdoor dubbed Mistic has been observed in financially motivated attacks targeting organizations in the insurance, ...

Learn essential Nmap commands for network scanning, port discovery, and OS detection. Complete guide with examples and a ...

Abstract: Image classification plays an important role in remote sensing. Earth observation (EO) has inevitably arrived in the big data era, but the high requirement on computation power has already ...

We introduce MNISQ, the first large-scale dataset for both quantum and classical machine learning during the NISQ era, containing 4.95 million circuits of 10 qubits constructed with up to 100 ...

This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2. Some examples ...

The MNIST dataset is a set of 70,000 human-labeled 28 x 28 greyscale images of individual handwritten digits. It is a subset of a larger dataset available from NIST - The National Institute of ...

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...

Pruning optimises machine learning models by removing redundant or unimportant components. Originally introduced by Yann LeCun, pruning helps prevent overfitting in models. It can be used as a ...

Autoplotter is an open-source Python library designed for Exploratory Data Analysis using a user-friendly Graphical User Interface. The library is built on the Dash framework, allowing users to create ...

A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities ...