Name: Linh T. Duong
Type: User
Company: KTH Royal Institute of Technology
Bio: Obtain a PhD in medical microbiology from the University of Greifswald, Germany. Interested in Microbiology, Molecular biology, Epidemiology, & Machine Learning
Twitter: DuongTuanLinh1
Location: Stockholm - Sweden
Blog: https://scholar.google.com/citations?user=aZKRy1oAAAAJ&hl=en
Linh T. Duong's Projects
A PyTorch Basecaller for Oxford Nanopore Reads
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Keras implementation of paper by the same name
Modified and fine-tune SOTA models in PyTorch for Brain Tumors Classification
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Official Keras implementation of BreastNet
🤓 Build your own (insert technology here)
CAMISIM: Simulating metagenomes and microbial communities
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Capsule Net on Tensorflow
CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.
Implementation of capsule networks layers in keras, as described in Hinton's paper
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in tensorflow.
A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset
Adapt Capsule Network for Name Entity Recognition Task
A tutorial-style implementation of CapsNet in PyTorch
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
[OUTDATED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
Pytorch easy-to-follow Capsule Network tutorial
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
A Tensorflow implementation of Capsule Networks
A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)
Reproduction of the model from the paper “Dynamic Routing Between Capsules”.
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
pytorch, CapsNet
A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters