Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Train and visualize Hierarchical Attention Networks

The base NIMBLE package for R

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Code for A Hierarchical Model for Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; ECIR 2020)

My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill

Recursively tracks changes within a view model no matter how deeply nested the observables are or whether they are nested within dynamically created array elements.

Hierarchical Attention Networks for Document Classification in Keras

DrugHIVE: Structure-based drug design with a deep hierarchical generative model

Message Passing Attention Networks for Document Understanding

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"

Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

An R package for estimating generalized additive mixed models with latent variables