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
ETH Robustness Analyzer for Deep Neural Networks
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Scoring of shape and ESP similarity with RDKit
This is a demo of a dataframe with editable cells, powered by `streamlit-aggrid` from Pablo Fonseca. You can edit the cells by clicking on them and then export your selection to a csv file! ๐
TensorFlow examples
Easy to use Python module to extract Exif metadata from digital image files.
Face Detection with the Faster R-CNN
๐ฅ๐ฅHigh-Performance Face Recognition Library on PyTorch๐ฅ๐ฅ
The world's simplest facial recognition api for Python and the command line
Face recognition using Tensorflow
Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Deploy a web demo of your machine learning model with one line of code. Honorable Mention ($500) at PyTorch's Summer Hackathon.
R package, scripts and documentation supporting R books by Julian Faraway
Official Implementation of 'Fast AutoAugment' in PyTorch.
A Pytorch implementation of Fast AutoAugment and EfficientNet
Super easy library for BERT based NLP models
example of API server for https://course.fast.ai/
Starter app for fastai v3 model deployment on Render
Starter Pack for creating fast responsive Web App for Fast.AI Vision models
fast.ai early development experiments
collection of work pertinent to integrating Roberta with fastai:
Fastai extension to work with 3d medical images
My fastai blog
Draft of the fastai book
FastDVDnet: A Very Fast Deep Video Denoising algorithm
Tensorflow Faster R-CNN for Windows and Python 3.5
A faster pytorch implementation of faster r-cnn
This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.