Code for getting CMB spectral distortions on Bound Dark Matter model modified
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Updated
Jan 17, 2021 - Python
Code for getting CMB spectral distortions on Bound Dark Matter model modified
Generate a spectral library for Spectronaut from MS Annika results.
PyTorch implementation of the spectral parametrization of the weights of a 2D convolutional layer, as introduced in the paper "Efficient Nonlinear Transforms for Lossy Image Compression" by Johannes Ballé, PCS 2018.
Dual Residual Channel Attention Net for Spectral Reconstruction
User-friendly unsupervised spectral clustering package implementing the powerful GSC framework.
Vision Language Dataset Construction Library for Remote Sensing Domain
[IJCAI 2020] A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time
Code for the article "Multi-material spectral photon-counting micro-CT with minimum residual decomposition and self-supervised deep denoising", Optics Express, Vol. 30, Issue 24, pp. 42995-43011 (2022)
WOUDC Data Registry is a platform that manages Ozone and Ultraviolet Radiation data in support of the World Ozone and Ultraviolet Radiation Data Centre (WOUDC), one of six World Data Centres as part of the Global Atmosphere Watch programme of the WMO.
Convert many binary format OPUS files to .dpt (Data Point Table) file format
Oversquashing in GNNs through the lens of information contraction and graph expansion
Implementation of spectral CNN in Pytorch
QGIS module for calculating Vegetation Indexes on Sentinel-2 multispectral images. There are two branches: "Master" which supports photographs downloaded from scihub and "landviewer" which stands for photographs downloaded from eos-landviewer.
A Pytorch implementation of "Spectral Normalization for Generative Adversarial Networks"
Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
Basically a class which parses the NIST Atomic Spectra Database and saves the data to a dictionary on HDD. You can pass an matplotlib.axis, and the emissions lines will be plotted with an optional normalization factor.
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