Artificial Intelligence Deep Learning Machine Learning TutorialsA 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.
Capsnet KerasA Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
Capsule Net Pytorch[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
CapseA Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
Variational Capsule RoutingOfficial Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
CapsgnnA PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Capsnet TensorflowA Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
CapslayerCapsLayer: An advanced library for capsule theory
Capsule net pytorchReadable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
EasyRecA framework for large scale recommendation algorithms.
heinsen routingOfficial implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.
me recognitionCapsuleNet for Micro-expression Recognition (IEEE FG 2019)
CapsNet-tensorflow-jupyterA simple tensorflow implementation of CapsNet (by Dr. G. Hinton), based on my understanding. This repository is built with an aim to simplify the concept, implement and understand it.
CapsNetEmpirical studies on Capsule Network representation and improvements implemented with PyTorch.
LightCapsNetA Matlab implementation of the capsule networks (or capsnet).