eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
GitHub

review_report_claude_fable_r2.md

I verified the three propositions analytically by hand against the source code (closed-form K*, the φ* first-order condition, the faith-based survival threshold φ̲ = R/ (1+R), the characteristic roots ...
GitHub

anushka123jet-cloud/SVM-Kernels-Intuition-and-Implementation

🚀 SVM Kernels: Intuition and Practical Implementation This repository demonstrates the concepts and practical implementation of Support Vector Machine (SVM) kernels using Python and Scikit-learn. It ...
Frontiers

Transfer learning and vision transformer for the automatic diagnosis of cataracts in ophthalmological images

The original fully connected layer of each base architecture (ResNet152, EfficientNet-V2-S, Inception v3, MobileNet v3, DenseNet 121, and Vit Transformer) was replaced by a custom neural network ...