Nhat (Jonny) Tran's Projects
:book: For those who wanna learn Bash
https://www.nature.com/articles/s41586-021-03500-8#Sec4
Cache dependencies and build outputs in GitHub Actions
This is an event app where users will be able to open the app and see where events are immediately. Buildings are marked with colored pins if there is an event that will occur there soon. This pin will have a color depending on how close the event is to now(i.e. if the event is going on now, red pin. If starting in 5 hours, dark blue pin.). Esseβ¦ β Edit
JupyterLab extension for Dask
DeepGraphGO: graph neural network for large-scale, multispecies protein function prediction
Python package built to ease deep learning on graph, on top of existing DL frameworks.
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Nhat (Jonny) Tran's academic personal websites
Layer-stacked Attention for Heterogeneous Graph Embedding
Protein function prediction by incorporating knowledge graph representation of heterogeneous interactions and Gene Ontology
An association study to identify a robust miRNA biomarker signature at various stages of lung cancer.
Basic machine learning algorithms self-implemented for understanding.
Mobi's brand new website built from scratch using Twitter's Bootstrap 3 framework
A PyTorch-based package for representation learning on heterogeneous networks. It aims to facilitate experimentation on different GNN models, metrics, and datasets from PytorchGeometric, DGL, networkx.
Getting my hand dirty on nuclei detection and segmentation algorithms on Whole-Slide Pathology Images
Docker set up for the OGB Large Scale Challenge with graph neural networks
An Open-Source Package for Network Embedding (NE)
A bioinformatics API to interface with public multi-omics bio databases for wicked fast data integration.
An Android application simulating a VR experience to help users find a geographic destination.
This is the website for pyOpenSci. Contributions welcome!!