30 Open source projects that are alternatives of or similar to Deep Learning With Csharp And Cntk

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

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

Capsule research with our trivial contribution

Diseases Detection from NIH Chest X-ray data

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

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

CapsLayer: An advanced library for capsule theory

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

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

Hands-On Deep Learning Algorithms with Python, By Packt

A framework for large scale recommendation algorithms.

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.

Another implementation of Hinton's capsule networks in tensorflow.

CapsuleNet for Micro-expression Recognition (IEEE FG 2019)

A 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.

Empirical studies on Capsule Network representation and improvements implemented with PyTorch.

汽车行业用户观点主题及情感识别

A Matlab implementation of the capsule networks (or capsnet).

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

Tensorflow Implementation of Adversarial Attack to Capsule Networks

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

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

ASR with PyTorch

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

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