GitHub

Fast Python Collaborative Filtering for Implicit Datasets.

Alternating Least Squares as described in the papers Collaborative Filtering for Implicit Feedback Datasets and Applications of the Conjugate Gradient Method for Implicit Feedback Collaborative ...
Frontiers

Gradient calculation techniques for multi-point ionosphere/thermosphere measurements from GDC

The upcoming Geospace Dynamics Constellation (GDC) mission aims to investigate dynamic processes active in Earth’s upper atmosphere and their local, regional, and global characteristics. Achieving ...
ahajournals.org

Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft: Improving Risk Prediction With Intraoperative Events Using Gradient Boosting

Intraoperative data may improve models predicting postoperative events. We evaluated the effect of incorporating intraoperative variables to the existing preoperative model on the predictive ...
C&EN

TAILOR-MS, a Python Package that Deciphers Complex Triacylglycerol Fatty Acyl Structures: Applications for Bovine Milk and Infant Formulas

Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Parkville, VIC 3052, Australia ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Monash ...
GitHub

POT: Python Optimal Transport

This open source Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning. OT barycenters (Wasserstein and GW) ...
PNAS

Spatial mapping of tissue properties in vivo reveals a 3D stiffness gradient in the mouse limb bud

Many biological processes are inherently physical in nature. Increasingly, biologists are proposing that the mechanical properties of tissues are critical for processes such as embryonic development ...