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
Cool Python features for machine learning that I used to be too afraid to use
Here we are going to make some python projects during Quarantine time
:runner: OpenFaaS-cli template for python3 ML model deployments as microservices
A fully functional blockchain application implemented in Python from scratch (with tutorial).
Python sample codes for robotics algorithms.
GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point
3D U-Net model for volumetric semantic segmentation written in pytorch
1st Place Public Leaderboard Solution for ERC2019
Pytorch implementation of Hinton's Dynamic Routing Between Capsules
Pytorch implementation of convolutional neural network visualization techniques
Companion code to the blog post.
Compressed Video Action Recognition
Some custom dataset examples for PyTorch
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
Minicourse in Deep Learning with PyTorch
From kaggle competition: https://www.kaggle.com/c/diabetic-retinopathy-detection
Implementation of team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge in pytorch.
PyTorch implementation of ENet
A pytorch based classification experiments template
pytorch1.0 updated. Support cpu test and demo.
Deploying multi-label resnet classifier using flask
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
PyTorch implementation of Grad-CAM
Classifying cat and dog images using Kaggle dataset
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Transfer learning models for Image Classification
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
Contains projects and related blogs in pytorch