Hacker

Why Measuring Time is Not Enough: a Practical Roofline Model for ML Training

I lead an LLM pre-training team at Yandex and optimise large-scale distributed training runs. I lead an LLM pre-training team at Yandex and optimise large-scale distributed training runs. I lead an ...
IEEE

AI-Driven Energy Optimization: Household Power Consumption Prediction With LSTM Networks and PyTorch-Ray Tune in Smart IoT Systems

Abstract: Energy optimization is critical in smart home systems and IoT networks, necessitating innovative models that reduce energy use. This research presents two Long Short-Term Memory (LSTM) ...
Digi Times

Google reportedly launches TorchTPU project to boost TPU compatibility with PyTorch

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...
Hacker

Building StyleGAN in PyTorch: From Theory to Code

Your browser does not support the audio element. Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something ...
Hosted on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
InfoWorld

PyTorch team unveils framework for programming clusters

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...
IEEE

LSTM Hardware Inference Accelerator for LiteRT

Abstract: The efficient deployment of Recurrent Neural Networks (RNNs), particularly long short-term memory (LSTM) architectures, on edge devices has become increasingly important due to their ability ...