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.

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

A framework for large scale recommendation algorithms.

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

A curated list of awesome resources related to capsule networks

Pytorch easy-to-follow Capsule Network tutorial

🎆 A visualization of the CapsNet layers to better understand how it works

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

CapsLayer: An advanced library for capsule theory

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

PyContinual (An Easy and Extendible Framework for Continual Learning)

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Tensorflow Implementation of Adversarial Attack to Capsule Networks

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.

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

Hands-On Deep Learning Algorithms with Python, By Packt

ASR with PyTorch

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

CapsuleNet for Micro-expression Recognition (IEEE FG 2019)

capsule networks that achieves outstanding performance on the German traffic sign dataset

Deep Learning with C# and CNTK

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

A pytorch implementation of Capsule Network.

A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)

Diseases Detection from NIH Chest X-ray data

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3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)