All Projects → sekwiatkowski → Awesome Capsule Networks

sekwiatkowski / Awesome Capsule Networks

A curated list of awesome resources related to capsule networks

Projects that are alternatives of or similar to Awesome Capsule Networks

Capsule Net Pytorch
[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
Stars: ✭ 158 (-82.37%)
Mutual labels:  neural-networks, capsule-network
Variational Capsule Routing
Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
Stars: ✭ 84 (-90.62%)
Mutual labels:  neural-networks, capsule-network
Machine Learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (-21.32%)
Mutual labels:  neural-networks
Xnnpack
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Stars: ✭ 808 (-9.82%)
Mutual labels:  neural-networks
3d Machine Learning
A resource repository for 3D machine learning
Stars: ✭ 7,405 (+726.45%)
Mutual labels:  neural-networks
Capsule Network Tutorial
Pytorch easy-to-follow Capsule Network tutorial
Stars: ✭ 722 (-19.42%)
Mutual labels:  capsule-network
Minisom
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Stars: ✭ 801 (-10.6%)
Mutual labels:  neural-networks
Armnn
Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
Stars: ✭ 696 (-22.32%)
Mutual labels:  neural-networks
Awesome Ai Ml Dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Stars: ✭ 831 (-7.25%)
Mutual labels:  neural-networks
Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Stars: ✭ 793 (-11.5%)
Mutual labels:  neural-networks
Deepmedic
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Stars: ✭ 809 (-9.71%)
Mutual labels:  neural-networks
Neural Structured Learning
Training neural models with structured signals.
Stars: ✭ 790 (-11.83%)
Mutual labels:  neural-networks
Neurec
Next RecSys Library
Stars: ✭ 731 (-18.42%)
Mutual labels:  neural-networks
Quickdraw
Implementation of Quickdraw - an online game developed by Google
Stars: ✭ 805 (-10.16%)
Mutual labels:  neural-networks
Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Stars: ✭ 6,136 (+584.82%)
Mutual labels:  neural-networks
Kur
Descriptive Deep Learning
Stars: ✭ 811 (-9.49%)
Mutual labels:  neural-networks
Deepfacelab
DeepFaceLab is the leading software for creating deepfakes.
Stars: ✭ 30,308 (+3282.59%)
Mutual labels:  neural-networks
Sincnet
SincNet is a neural architecture for efficiently processing raw audio samples.
Stars: ✭ 764 (-14.73%)
Mutual labels:  neural-networks
Lab
Disclaimer: This is not an official Google product.
Stars: ✭ 6,595 (+636.05%)
Mutual labels:  neural-networks
Ctrnn
Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
Stars: ✭ 17 (-98.1%)
Mutual labels:  neural-networks

Awesome Capsule Networks Awesome

A curated list of awesome resources related to capsule networks maintained by AI Summary.

Contributing

Please pull a request if you are aware of additional resources.

Your feedback and contributions are always welcome!

Sharing

Table of Contents

Papers

Papers by Hinton et al.

Other papers

Under review

Preprints

Videos

Blogs

Dynamic routing implementations

Official implementation

Chainer

CNTK

Keras

Matlab

MXNet

PyTorch

R

TensorFlow

Torch

EM routing implementations

PyTorch

TensorFlow

Other resources

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].