GitHub

Neural networks for deep mutational scanning data

We trained and evaluated the performance of multiple types of neural networks on five deep mutational scanning datasets. This repository contains code and examples that allow you to do the following: ...
C&EN

Artificial Intelligence-Powered Raman Spectroscopy through Open Science and FAIR Principles

CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Piazza Leonardo Da Vinci 32, Milan 20133, Italy Department of Physics, Politecnico di Milano, P.zza Leonardo da Vinci 32, Milan 20133, Italy ...
GitHub

[CVPR 2020] Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

Recovering a high dynamic range (HDR) image from asingle low dynamic range (LDR) input image is challenging due to missing details in under-/over-exposed regions caused by quantization and saturation ...
C&EN

RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis

Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom Department of Materials, Department of Bioengineering & ...
Scientific Research Publishing

Plant Disease Detection with Deep Learning and Feature Extraction Using Plant Village ()

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...
Frontiers

Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification

For the past several decades, research in understanding the molecular basis of human muscle aging has progressed significantly. However, the development of accessible tissue-specific biomarkers of ...