C&EN

High-Throughput Screening of Promising Redox-Active Molecules with MolGAT

Department of Physics, College of Natural and Computational Sciences, Addis Ababa University, P.O. Box 1176, Addis Ababa 1176, Ethiopia Computational Data Science, College of Natural and Computational ...
PNAS

Robust probabilistic modeling for single-cell multimodal mosaic integration and imputation via scVAEIT

Single-cell multimodal assays provide an unprecedented opportunity for investigating heterogeneity of cell types and novel associations with disease and development. Although analyses of such ...
Frontiers

Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning

Deep learning architectures for the classification of images have shown outstanding results in a variety of disciplines, including dermatology. The expectations generated by deep learning for, e.g., ...
GitHub

Road to ML: From Zero to Hero

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...
archive

Neural Networks for Machine Learning Coursera Video Lectures - Geoffrey Hinton

remove-circle Internet Archive's in-browser video "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see your ...
Frontiers

DeepTox: Toxicity Prediction using Deep Learning

The Tox21 Data Challenge has been the largest effort of the scientific community to compare computational methods for toxicity prediction. This challenge comprised 12,000 environmental chemicals and ...
GitHub

Retina blood vessel segmentation with a convolution neural network (U-net)

This repository contains the implementation of a convolutional neural network used to segment blood vessels in retina fundus images. This is a binary classification task: the neural network predicts ...