C&EN

Advanced Dimensionality Reduction for Imaging Mass Spectrometry of Human Eye Tissue through Low-Rank Modeling with Sparse and Dense Residuals

Department of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee 37232, ...
GitHub

A Linear Operator Library for Python

PyLops is an open-source Python library focused on providing a backend-agnostic, idiomatic, matrix-free library of linear operators and related computations. It is inspired by the iconic MATLAB Spot – ...
GitHub

DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras

We plan to release the training and testing code of DiffuStereo in this repository as soon as possible. Any discussions or questions would be welcome! We will provide the pretrained diffusion models ...
Analytics India Magazine

Now GANs Are Being Used For Drug Discovery: Complete Guide To Quantum GAN With Python Code

Developing new drugs is complex and time-consuming, with many candidates failing to reach the market. Generative Adversarial Networks (GANs) are now being applied in drug discovery to identify ...
Frontiers

PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology

Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...
Nature

Sparse coding with memristor networks

The original input, such as an image, is fed to the rows of the memristor crossbar, and the columns of the crossbar are connected to output neurons. The memristor network performs critical pattern ...
Frontiers

Machine learning for neuroimaging with scikit-learn

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...