A framework for large scale recommendation algorithms.

Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification

Presentation for paper "Single Image Super-Resolution Based on Capsule Neural Networks"

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Using optimized capsule network to do PCB defect inspection.

PyTorch implementation of "Efficient-CapsNet: Capsule Network with Self-Attention Routing" (Mazzia et al., 2021).

Master's thesis - Assessment of cognitive load in extreme environment

This is a project for mechanical fault detection. The reason why it is called cute little bird may be because the eyesight of birds is particularly good, and they can detect small bugs. Besides, they are cute too. In the current version, we have tested some planetary gearbox vibration data in the lab, and there are 8 error types in total. And us…

PyContinual (An Easy and Extendible Framework for Continual Learning)

Deep fMRI Encoding Models of Human Vision using Capsule Networks

Analysis of capsule network performance for text classification (IMDB)

IntentCapsNet implementation in Pytorch

Korean Smart Reply system using IntentCapsnet

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

A malware image dataset based on dynamic analysis and a classification model based on capsule network.

Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

Capsule Network Implementation

Neural Architectures for the Detection of ASD using EEG and IRT