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23 search results found

Deep Learning Notes ⭐ 1,257

Experiments with Deep Learning

Capsgnn ⭐ 1,180

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

Capsnet ⭐ 422

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Capsnet Pytorch ⭐ 409

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Heinsen_routing ⭐ 125

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.

Novel Deep Learning Model For Traffic Sign Detection Using Capsule Networks ⭐ 79

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

Capsule Nlu ⭐ 71

Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471

Capsnet Nlp ⭐ 64

CapsNet for NLP

Capsule Pytorch ⭐ 59

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)

Transforming Autoencoder Tf ⭐ 59

Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

Capsnet Pytorch ⭐ 44

Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules

Kapsul Aglari Ile Isaret Dili Tanima ⭐ 33

Recognition of Sign Language using Capsule Networks

Glcapsnet ⭐ 32

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

Deeprtplus ⭐ 30

Deep (Transfer) Learning for Peptide Retention Time Prediction

Articles Bookmarked ⭐ 29

3d_model_retriever ⭐ 29

Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD)

Transforming Autoencoders ⭐ 22

Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.

Divingbell ⭐ 22

Source code for the Steam Diving Bell prototype (not to be confused with Steam Deep Dive)

Tensormonk ⭐ 20

A collection of deep learning models (PyTorch implemtation)

Torch Scae ⭐ 19

PyTorch implementation of Stacked Capsule Auto-Encoders

Tensorflow Deep Learning ⭐ 18

用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/C Network等deep learning模型

Mxnet Cpp Scratch ⭐ 14

Some deep learning models written with mxnet and C++11.

Conv Caps Hsi Classification ⭐ 9

Code for the paper "Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification"

Capsule Networks Medical Data Challenges ⭐ 8

"Capsule Networks against Medical Imaging Data Challenges" - LABELS@MICCAI 2018

Capsule Net Tf ⭐ 8

A tiny implementation of Capsule Network

CapsNeet vs CNN

Lanes Capsnet ⭐ 6

Separable and resource efficient organization of Capsule Networks (CapsNet)

Capsnet Cntk ⭐ 6

A CNTK implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules

Computer Vision Deep Learning Intro Papers ⭐ 5

Collection of annotated papers (from ML in CV) for reference.

Summaries ⭐ 5

Summary of neural computer vision work from perceptrons to Capsule Networks. If you see any errors, want to add something, or notice missing citations, please feel free to edit!

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