GitHub

Gap-averaged flow simulations with Gaussian Process regression.

The published wheels are currently not built with LAMMPS. Thus, running multiscale simulations with molecular dynamics is not possible with this quick installation. For the full functionality it is ...
GitHub

TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors

We present TSGS, a framework for high-fidelity transparent surface reconstruction from multi-views. (a) We introduce TransLab, a novel dataset for evaluating transparent object reconstruction. (b) ...
Hackaday

Simple Tricks To Make Your Python Code Faster

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...
EurekAlert!

SIMPO: A simplified intelligent modelling platform online for code-free and shareable wastewater treatment process modelling

Activated sludge models are crucial for designing and optimizing wastewater treatment systems, which are the cornerstone of sustainable water resource management. However, their complexity creates a ...
The Cornell Daily Sun

‘There’s A Lack of Transparency’: University Assembly Questions Perceived Lack of Representation in Student Code of Conduct Revision Process

In the first University Assembly meeting of the academic year on Aug. 26, members discussed requesting its representation on the 2025-26 Code and Procedures Review Committee following news that the ...
Visual Studio Magazine

Dedicated Python Environments Tool Rolls Out in VS Code Update

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...
IEEE

Towards Fast Gaussian Process Regression Models: An FPGA-based Implementation of the RBF Kernel Matrix Computation

Abstract: Gaussian Process Regression (GPR) is a machine learning technique that, besides predicting certain target values, also quantifies their uncertainty. With that, GPR is increasingly gaining ...
C&EN

Data-Driven Design of High-Temperature-Resistant Polyimides Using Hierarchical Gaussian Process Regression

School of Materials Science and Engineering, Beihang University, Beijing 100191, China State Key Laboratory of Artificial Intelligence for Materials Science, Beihang University, Beijing 100091, China ...
C&EN

Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular Reactions

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Hosted on MSN

Master Linear Regression in Python A Step by Step Beginners Guide

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Hosted on MSN

Build Logistic Regression from Scratch in Python with Ease

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...