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
:sparkles: Data Augmentation by Backtranslation (DAB) :sparkles:
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
DAS Tool
Data Augmentation For Object Detection using Pytorch and PIL
Data Efficient Model Compression
Cheat Sheets
code for Data Science From Scratch book
Data Science Tutorials
Flask app to calculate compensation of a data scientist
My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton
A script to help you quickly build custom computer vision datasets
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Deep-Lab combines CNN with CRF. It's built on top of caffe
Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。
A community run, 5-day PyTorch Deep Learning Bootcamp
Repository with data and code for the paper "Identification of SARS-CoV-2 from Genome Sequences using Deep Learning"
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Projects and exercises for the Deep Learning Nanodegree
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains code and associated files for developing and deploying various Machine Learning models using PyTorch and trained on AWS SageMaker
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.