hierarchical-models

There are 1 repository under hierarchical-models topic.

JWarmenhoven / DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference pymc3 mcmc hierarchical-models kruschke probabilistic-programming
Language:Jupyter Notebook 667
minqi / hnatt
Train and visualize Hierarchical Attention Networks
hierarchical-models hierarchical-model attention-mechanism attention deep-learning deep-neural-networks attention-visualization classification-model
Language:Python 203
translationalneuromodeling / tapas
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
computational psychiatry behavioral neuroscience psychosomatics neurology statistical-learning bayesian-inference hierarchical-models fmri eeg
Language:MATLAB 201
nimble-dev / nimble
The base NIMBLE package for R
bayesian-inference mcmc hierarchical-models probabilistic-programming bayesian-methods r
Language:C++ 147
jonsedar / pymc3_vs_pystan
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
pymc3 pystan bayesian-inference bayesian-methods hierarchical-models
Language:Jupyter Notebook 126
sandipanpaul21 / 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 questions on clustering are also added in the end.
clustering clustering-algorithm clustering-methods clustering-evaluation clustering-coefficient clustering-validation kmeans-clustering kmeans-algorithm kmeans-analysis dendogram hierarchical-clustering hierarchical-models dbscan dbscan-clustering dbscan-algorithm dbscan-clustering-algorithm dbscan-clusters gaussian-mixture-models python k-mode
Language:Jupyter Notebook 97
hongyehu / 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
normalizing-flow generative-model hierarchical-models sparse-coding representation-learning computer-vision renormalization-group
Language:Python 81
KaijuML / data-to-text-hierarchical
Code for A Hierarchical Model for Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; ECIR 2020)
nlg natural-language-generation rotowire hierarchical-models
Language:Python 80
Ugenteraan / Deep_Hierarchical_Classification
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
deep-learning hierarchical-models hierarchical-classification pytorch-implementation image-classification python neural-networks pytorch
Language:Python 78
IamGianluca / arm
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
pystan hierarchical-models python
Language:Jupyter Notebook 76
ZiadJ / knockoutjs-reactor
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.
javascript knockout watch recursive listener hierarchical-models children centralized subscribe subscription
Language:JavaScript 74
arunarn2 / HierarchicalAttentionNetworks
Hierarchical Attention Networks for Document Classification in Keras
sentiment-classification keras-tensorflow hierarchical-models hierarchical-attention-networks imdb-sentiment-analysis
Language:Python 71
giannisnik / mpad
Message Passing Attention Networks for Document Understanding
text-classification text-mining hierarchical-models attention-mechanism graph-neural-networks
Language:Python 60
yumeng5 / JoSH
[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
text-mining word-embeddings tree-structure hierarchical-models spherical-geometry topic-modeling
Language:C 58
kenkellner / 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 effects.
stan occupancy hierarchical-models n-mixture-model distance-sampling r
Language:R 35
nlpAThits / figet-hyperbolic-space
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
nlp figet entity-typing entity-types hyperbolic-geometry hyperbolic-distance hyperbolic-space fine-grained-classification fine-grained-entity-typing graph-embeddings hierarchical-data hierarchical-models hierarchy
Language:Python 34
Sshanu / Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
word-sense-disambiguation tensorflow hierarchical hierarchical-models one-million-dataset semcor part-of-speech crf single-word-sense-disambiguation all-word-sense-disambiguation attention-mechanism attention single all wordnet deep-learning deep-neural-networks convolutional-neural-networks lstm
Language:Jupyter Notebook 33
VSainteuf / metric-guided-prototypes-pytorch
PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
deep-learning deeplearning machine-learning machinelearning pytorch classification classification-algorithims hierarchical hierarchical-models taxonomy taxonomic-classification
Language:Jupyter Notebook 26
cran-task-views / MixedModels
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
cran glmm hierarchical-models mixed-effects mixed-models multilevel-models r rstats task-views
Language:R 25
hanjq17 / EGHN
[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
ai4science equivariant-network graph-neural-networks hierarchical-models
Language:Python 20
andreaskapou / scMET
Bayesian modelling of DNA methylation heterogeneity at single-cell resolution
bayesian-inference generalised-linear-models methylation-analysis single-cell heterogeneity hierarchical-models
Language:R 19
LCBC-UiO / galamm
An R package for estimating generalized additive mixed models with latent variables
structural-equation-models generalized-additive-models item-response-theory hierarchical-models latent-variable-models
Language:C++ 19
XL2248 / VHM
Code for the ACL2022 main conference paper "A Variational Hierarchical Model for Neural Cross-Lingual Summarization"
cross-lingual-summarization hierarchical-models multi-task-learning
Language:Python 18
mkearney / tidymlm
🎓 Tidy multilevel modeling tools for academics
tidyversity rstats statistics quantitative-methods multilevel-models hierarchical-models mixed-models
Language:R 17
brettkromkamp / typed-tree
TypedTree provides a tree data structure that allows adding type information to both nodes and edges; useful for visualisation purposes
data-structures tree-structure python-3 hierarchical-data hierarchical-models visualization
Language:Python 16
cbg-ethz / scDEF
Deep exponential families for single-cell data.
hierarchical-models jax matrix-factorization scrna-seq single-cell-rna-seq variational-inference batch-integration gene-signatures
Language:Python 15
hanyas / mimo
A toolbox for inference of mixture models
hierarchical-models mixture-models inference variational-inference markov-chain-monte-carlo vi mcmc gibbs-sampling clustering regression dirichlet-process-mixtures infinite-mixtures infinite-regression-mixtures mixture-of-experts gmm bayesian-gmm variational-bayes probabilistic-modeling stochastic-variational-inference
Language:Python 15
MonarchStore / monarchs
A hierarchical, NoSQL, in-memory data store with a RESTful API
database document-store go golang hierarchical-data hierarchical-models hierarchy hirarchical http-api nosql
Language:Go 14
DoseResponse / medrc
Hierarchical dose-response models in R
nonlinear-regression hierarchical-models dose-response-modeling r
Language:R 12
NJdevPro / Closure-Table
An implementation of the closure table pattern in Python + SQL
closure-table sql tree-structure hierarchical-models hierarchical-data python-sql
Language:Python 11
wangruinju / Double-Fusion
A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder
pymc3 theano fmri bayesian-analysis hierarchical-models dti correlation-matrix cholesky-decomposition
Language:Python 11
akash18tripathi / MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network
This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.
adjacency-matrix attention-mechanism bert bert-embeddings bilstm binary-relevance classifier-chains cnn embeddings glove-embeddings graph-neural-networks hierarchical-models multilabel-classification onevsrestclassifier reuters-dataset text-classification text-preprocessing-techniques toxic-comment-classification
Language:Jupyter Notebook 10
lingxuez / URSM
A Unified RNA Sequencing Model (URSM) for joint analysis of single cell and bulk RNA-seq data.
single-cell hierarchical-models em-algorithm gibbs-sampling python rna-seq
Language:Python 10
petrushev / bayesian-modeling
Case studies with Bayesian methods
bayesian-inference bayesian-data-analysis statistical-models python pymc3 mcmc jupyter-notebook bayesian-methods multilevel-models hierarchical-models
Language:Jupyter Notebook 10
rajeev595 / RHS_HierNSE
Code for our work "Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach"
text-summarization sequence-to-sequence neural-semantic-encoder abstractive-summarization hierarchical-models
Language:Python 10
smsharma / hierarchical-inference
Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
astrophysics cosmology hierarchical-models particle-physics sbi simulation-based-inference neural-sbi
Language:Jupyter Notebook 10

hierarchical-models

JWarmenhoven / DBDA-python

minqi / hnatt

translationalneuromodeling / tapas

nimble-dev / nimble

jonsedar / pymc3_vs_pystan

sandipanpaul21 / Clustering-in-Python

hongyehu / RG-Flow

KaijuML / data-to-text-hierarchical

Ugenteraan / Deep_Hierarchical_Classification

IamGianluca / arm

ZiadJ / knockoutjs-reactor

arunarn2 / HierarchicalAttentionNetworks

giannisnik / mpad

yumeng5 / JoSH

kenkellner / ubms

nlpAThits / figet-hyperbolic-space

Sshanu / Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses

VSainteuf / metric-guided-prototypes-pytorch

cran-task-views / MixedModels

hanjq17 / EGHN

andreaskapou / scMET

LCBC-UiO / galamm

XL2248 / VHM

mkearney / tidymlm

brettkromkamp / typed-tree

cbg-ethz / scDEF

hanyas / mimo

MonarchStore / monarchs

DoseResponse / medrc

NJdevPro / Closure-Table

wangruinju / Double-Fusion

akash18tripathi / MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

lingxuez / URSM

petrushev / bayesian-modeling

rajeev595 / RHS_HierNSE

smsharma / hierarchical-inference