Name: Hong Qin
Type: User
Company: University of Tennessee at Chattanooga
Bio: artificial intelligence, machine learning, health science, public health, data science, computational biology, mathematical biology
Twitter: hongqin
Location: Chattanooga, TN, U.S.A.
Blog: https://www.youtube.com/c/hongqin
Hong Qin's Projects
Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.
The github repository for mathematical biostatistics bootcamp 2
Suvey data and analysis on the metric proficiency, scientific literaccy and attitude
Learning disentangled representations of single-cell data for high-quality generation
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
MitoFinder: efficient automated large-scale extraction of mitogenomic data from high throughput sequencing data
Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
ML-based coronavirus trends' predicting project. Done as part of iCompBio 2020 REU and the UTC QinLab.
suggestions on training and learning ML AI for life sciences
A collection of modern/faster/saner alternatives to common unix commands.
Guest lecture on R in biology
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis
Assessing accuracy of fitness model forecasts
C++ implementation of the Python Numpy library
A simple and effective method for detecting out-of-distribution images in neural networks.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Useful bash one-liners for bioinformatics.
python library for working with ontologies and ontology associations
OpenRefine is a free, open source power tool for working with messy data and improving it