This package will be useful to anybody who wants to infer graphical models for all sorts of compositional data, though primarily intended for microbiome relative abundance data (generated from 16S ...

Abstract: This paper proposes a hyperspectral (HS) anomaly detection method using a novel background model based on convolutional sparse coding (CSC). One promising HS anomaly detection approach is to ...

Open-source artifacts and codes of our MICRO'23 paper titled "Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads". This repo mainly contains: ...

National Quantum Computing Centre, Rutherford Appleton Laboratory, Harwell Campus, Didcot, Oxfordshire OX11 0QX, U.K. Riverlane, St Andrews House, 59 St Andrews ...

Orthogonal Frequency Division Multiplexing (OFDM) is widely recognized for its high efficiency in modulation techniques and has been extensively applied in underwater acoustic communication. However, ...

Microbes—the most abundant organisms on Earth—form complex communities with a profound influence on many problems, from human health to ecosystem management. Understanding species interactions is of ...

School of Molecular and Cellular Biology, University of Leeds, LS2 9JT Leeds, United Kingdom ...

In February, we announced DeepSpeed, an open-source deep learning training optimization library, and ZeRO (Zero Redundancy Optimizer), a novel memory optimization technology in the library, which ...