Code for getting CMB spectral distortions on Bound Dark Matter model modified

Generate a spectral library for Spectronaut from MS Annika results.

Implementation of spectral CNN in Pytorch

User-friendly unsupervised spectral clustering package implementing the powerful GSC framework.

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.

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)

Dual Residual Channel Attention Net for Spectral Reconstruction

sparse and fully constrained spectral unmixing algorithm

Vision Language Dataset Construction Library for Remote Sensing Domain

[IJCAI 2020] A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time

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"

Convert many binary format OPUS files to .dpt (Data Point Table) file format

Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration

For Dota 2. Scrape spectral stats (spectral.gg) for the top performing heroes of the last week and put them into hero grid tier lists.

Oversquashing in GNNs through the lens of information contraction and graph expansion

The Awesome Spectral Indices Streamlit App.

Python lib for controlling spectral BLDC controllers.

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.