Guns? Weapons hunters can use in Florida's python challenge

Can you use your firearm while competing in the Florida Python Challenge? Here's what to know before it begins.
IEEE

MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing

Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...
Scientific Research Publishing

Klee, V. and Minty, G. (1972) How Good Is the Simplex Algorithm? In Inequalities. Academic Press, New York.

ABSTRACT: The purpose of this paper is to introduce a new pivot rule of the simplex algorithm. The simplex algorithm first presented by George B. Dantzig, is a widely used method for solving a linear ...
GitHub

Turbospectrum Spectral Fitting with Python (TSFitPy)

TSFitPy is a pipeline designed to determine stellar abundances and atmospheric parameters through the use of Nelder-Mead (simplex algorithm) minimization. It calculates model spectra "on the fly" ...
GitHub

A Python mountainous island heightmap generator, using domain warped fractaled simplex noise and the Julia Set. Yep, that's a lot of adjectives.

I tried to keep everything meaningful in a single file, because it's (maybe) simpler. There's only the vector class in another file, but it's not mine, so it's ok. This generator makes use of both the ...
IEEE

UnDIP: Hyperspectral Unmixing Using Deep Image Prior

Abstract: In this article, we introduce a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted ...