Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

What is this book about? Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation ...

MotorNet is a Python toolbox for training artificial neural networks to control arbitrarily complex, differentiable, and biomechanically realistic musculo-skeletal effectors on user-defined ...

We present a tutorial for MCMC methods that covers simple Bayesian linear and logistic models, and Bayesian neural networks. The aim of this tutorial is to bridge the gap between theory and ...

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

Neural networks are a type of artificial intelligence (AI) that can learn from data and perform complex tasks, such as image recognition, natural language processing, and speech synthesis. In this ...

In artificial intelligence, efficiency, and environmental impact have become paramount concerns. Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library ...

This project uses a Generative Adversarial Network (GAN) to create synthetic images of handwritten digits from the MNIST dataset. By training the GAN, it learns to generate digit images that closely ...

Here we propose a new approach to creation of SPICE models of artificial neural networks (ANN) based on memristors. The main feature of this approach is that SPICE models are created automatically ...