How-To Geek on MSN

I install these 9 Python tools on every new machine

These are my go-to libraries for Python data crunching.
GitHub

nrp — Neural Render Proxies, a sample reimplementation

A small, CPU-runnable reimplementation of Sancho et al., "Neural Render Proxies for Interactive and Differentiable Lighting" (Computer Graphics Forum 45(4), EGSR 2026), written as an educational ...
GitHub

NumPy Array - Fast Array Computing for Scientific Python

NumPy Array is an open source Python library for fast numerical computing, multidimensional arrays, linear algebra, and scientific data workflows. NumPy Array is an open source Python library for fast ...
How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
IEEE

D2S-RSG-SSD: Dual Double-Sampling with Random Sub-Samples Generation for Self-Supervised Real Image Denoising

Abstract: Recent advances in self-supervised image denoising have highlighted the potential of Blind-Spot Networks (BSNs). However, existing methods suffer from three major limitations: (1) Their ...
IEEE

Random Tensor Analysis: Outlier Detection and Sample-Size Determination

Abstract: High-dimensional signal processing and data analysis have been appealing to researchers in recent decades. Outlier detection and sample-size determination are two essential pre-processing ...