This repository contains the official PyTorch implementation for the ECCV2024 paper "AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer". AdaLog adapts the ...

NEWPORT NEWS, Va. — The U.S. Army has taken a significant step to modernize how it manages Soldiers’ training data. On Nov. 15, ATIS Training — a streamlined, intuitive platform for managing ...

Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to one billion parameters. This ...

Abstract: Transformer models have achieved state-of-the-art performance across a wide range of machine learning tasks. There is growing interest in training transformers on resource-constrained edge ...

State-of-the-art pretrained models for inference and training Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training. Use ...

Introduction: Critical events in healthcare require a rapid and coordinated approach: simulation has been demonstrated a valid technique for training in emergency. Virtual Reality (VR) is an ...

Antonia Haynes is a Game Rant writer who resides in a small seaside town in England where she has lived her whole life. Beginning her video game writing career in 2014, and having an avid love of ...

Uni2TS is a PyTorch based library for research and applications related to Time Series Transformers. This library aims to provide a unified solution to large-scale pre-training of Universal Time ...