Train and visualize Hierarchical Attention Networks
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Updated
Jun 29, 2018 - Python
Train and visualize Hierarchical Attention Networks
Code for the paper "Neural hierarchical models of ecological populations"
Conduct simulation-based inference on strong gravitational lensing systems.
[WWW 2021] Source code and datasets for the paper "Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval".
atlasqtl R package - Fast global-local hotspot QTL detection
UW course projects
Ribeiro, J.W., Siqueira, T., Brejão, G.L., & Zipkin E.F. 2018. Effects of agriculture and topography on tropical amphibian species and communities. Ecological Applications. 28: 1554-1564.
AITLの中核理論(推論・制御・物理的制約付きAI)をまとめたリポジトリ。 Core theoretical foundations of AITL: reasoning, control, and physics-informed AI.
HMHCNN-mCBAM-for-Forest-Fire-Detection Hierarchical CNN with attention for aerial forest fire classification using UAV imagery.
Assessing the validity and reproducibility of genome-scale predictions
Hierarchical music transformer for symbolic generation.
Knowledge Discovery - paper presentation
Research repository
iOS application for an interactive space story where the users charts their own path through a space story with each path leading to a different outcome.
Latent variable analysis for NCAA basketball rankings (M)
Bioinformatics, data wrangling, machine learning, and statistical analysis of microscopy and proteomics data in Dr. Martha Bhattacharya's lab at the University of Arizona
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