hierarchical-models topic
arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
RG-Flow
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
JoSH
[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Clustering-in-Python
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 questi...
ubms
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 effect...
Deep_Hierarchical_Classification
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
typed-tree
TypedTree provides a tree data structure that allows adding type information to both nodes and edges; useful for visualisation purposes
metric-guided-prototypes-pytorch
PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
MixedModels
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R