archive

github.com-pytorch-torchtitan_-_2025-09-19_11-35-35

# torchtitan#### A PyTorch native platform for training generative AI models[![8 GPU Feature Tests](https://github.com/pytorch/torchtitan/actions/workflows ...
IEEE

MUSCLE: A New Perspective to Multi-scale Fusion for Medical Image Classification based on the Theory of Evidence

Abstract: In the field of medical image analysis, medical image classification is one of the most fundamental and critical tasks. Current researches often rely on the off-the-shelf backbone networks ...
GitHub

trace images are too small to see anything

The trace images in https://docs.pytorch.org/tutorials/intermediate/pinmem_nonblock.html are not quite readable because they are massively scaled down. Is it possible ...
Scientific Research Publishing

Amin, F. and Mahmoud, M. (2022) Confusion Matrix in Binary Classification Problems: A Step-by-Step Tutorial. Journal of Engineering Research, 6, Article No. 1.

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
IEEE

ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification

Abstract: Genetic Programming (GP) is a promising evolutionary machine learning technique for image classification, known for its ability to evolve flexible, effective, and interpretable models.