🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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%.

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

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

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

CapsLayer: An advanced library for capsule theory

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

A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

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

Tensorflow Implementation of Adversarial Attack to Capsule Networks

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

A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules"

Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`

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

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

A tutorial-style implementation of CapsNet in PyTorch

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.

Capsule Network on Fashion MNIST dataset

My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules

A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).

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)

With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in tensorflow.

No description available

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

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

CapsNet for NLP

A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)