hierarchical-models | Topic | Ecosyste.ms: Repos

Topic: "hierarchical-models"

JWarmenhoven/DBDA-python

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

Language: Jupyter Notebook - Size: 73.9 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 669 - Forks: 264

translationalneuromodeling/tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Language: MATLAB - Size: 164 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 231 - Forks: 93

minqi/hnatt

Train and visualize Hierarchical Attention Networks

Language: Python - Size: 232 KB - Last synced at: 6 months ago - Pushed at: almost 7 years ago - Stars: 203 - Forks: 35

nimble-dev/nimble

The base NIMBLE package for R

Language: C++ - Size: 70.7 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 174 - Forks: 22

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

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 126 - Forks: 43

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

Language: Python - Size: 85.5 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 85 - Forks: 12

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.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 35

IamGianluca/arm

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

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 80 - Forks: 47

KaijuML/data-to-text-hierarchical

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

Language: Python - Size: 33.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 77 - Forks: 29

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.

Language: JavaScript - Size: 317 KB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 74 - Forks: 22

Ugenteraan/Deep_Hierarchical_Classification

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

Language: Python - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 70 - Forks: 16

arunarn2/HierarchicalAttentionNetworks

Hierarchical Attention Networks for Document Classification in Keras

Language: Python - Size: 1.23 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 70 - Forks: 28

giannisnik/mpad

Message Passing Attention Networks for Document Understanding

Language: Python - Size: 1.04 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 60 - Forks: 17

jssweller/DrugHIVE

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

Language: Python - Size: 372 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 58 - Forks: 7

yumeng5/JoSH

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

Language: C - Size: 187 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 58 - Forks: 7

nlpAThits/figet-hyperbolic-space

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

Language: Python - Size: 2.78 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 37 - Forks: 1

biodiverse/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.

Language: R - Size: 3.99 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 35 - Forks: 8

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

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

Language: Jupyter Notebook - Size: 61 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 33 - Forks: 6

LCBC-UiO/galamm

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

Language: C++ - Size: 24.6 MB - Last synced at: about 18 hours ago - Pushed at: about 18 hours ago - Stars: 28 - Forks: 2

cran-task-views/MixedModels

CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R

Language: R - Size: 169 KB - Last synced at: 21 days ago - Pushed at: about 1 month ago - Stars: 27 - Forks: 10

CDCgov/ww-inference-model

An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations

Language: R - Size: 1.94 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 23 - Forks: 7

cbg-ethz/scDEF

Deep exponential families for single-cell data.

Language: Python - Size: 35 MB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 21 - Forks: 1

VSainteuf/metric-guided-prototypes-pytorch

PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.

Language: Jupyter Notebook - Size: 3.98 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 3

andreaskapou/scMET

Bayesian modelling of DNA methylation heterogeneity at single-cell resolution

Language: R - Size: 3.01 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 2

brettkromkamp/typed-tree

TypedTree provides a tree data structure that allows adding type information to both nodes and edges; useful for visualisation purposes

Language: Python - Size: 389 KB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 17 - Forks: 1

mkearney/tidymlm

🎓 Tidy multilevel modeling tools for academics

Language: R - Size: 259 KB - Last synced at: 30 days ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 0

ProvenceStar/PartGLEE

[ECCV2024] PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects

Language: Python - Size: 37.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 15 - Forks: 0

hanjq17/EGHN

[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".

Language: Python - Size: 8.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 2

XL2248/VHM

Code for the ACL2022 main conference paper "A Variational Hierarchical Model for Neural Cross-Lingual Summarization"

Language: Python - Size: 118 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 2

MonarchStore/monarchs

A hierarchical, NoSQL, in-memory data store with a RESTful API

Language: Go - Size: 112 KB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 6

hanyas/mimo

A toolbox for inference of mixture models

Language: Python - Size: 713 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 4

NJdevPro/Closure-Table

An implementation of the closure table pattern in Python + SQL

Language: Python - Size: 12.7 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

wangruinju/Double-Fusion

A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder

Language: Python - Size: 4.74 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 2

petrushev/bayesian-modeling

Case studies with Bayesian methods

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 10 - Forks: 2

mdnunez/mcntoolbox

The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters."

Language: MATLAB - Size: 64.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 3

DoseResponse/medrc

Hierarchical dose-response models in R

Language: R - Size: 1.09 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 1

phanikmr/Graph-Matching-for-Image-Retrival

Content based image search using contours of image

Language: Python - Size: 18.9 MB - Last synced at: 23 days ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 0

lingxuez/URSM

A Unified RNA Sequencing Model (URSM) for joint analysis of single cell and bulk RNA-seq data.

Language: Python - Size: 1.13 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 4

smsharma/hierarchical-inference

Hierarchical neural SBI over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 0

rajivsarvepalli/SimpleHierarchy

A python package adding basic hierarchal networks in pytorch for classification tasks. It implements a simple hierarchal network structure based on feed-backward outputs.

Language: Python - Size: 1.49 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 0

dirmeier/greta.lme

a greta extension for hierarchical models

Language: R - Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 2

beekill95/numpyro-doing-bayesian

My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.

Language: Python - Size: 190 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

prajval10/industrialRobot_task_planning

This is the public repo of my M.S thesis on "Implementation of Human-Robot Collaboration Model in Manufacturing Scenarios"

Language: C++ - Size: 47.7 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 5

theorashid/probabilistic-programming-packages

Trying out different probabilistic programming packages on the same statistical model

Language: Python - Size: 193 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

chenhaotian/Bayesian-Bricks

Basic building blocks in Bayesian statistics.

Language: R - Size: 5.36 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

cwangrun/HierProtoPNet

[JBHI 2025] Progressive Mining and Dynamic Distillation of Hierarchical Prototypes for Disease Classification and Localisation

Language: Python - Size: 2.42 MB - Last synced at: about 17 hours ago - Pushed at: about 18 hours ago - Stars: 6 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

mohammadjoshaghani/Hierarchical-demand-forecasting

Predict M5 kaggle dataset, by LSTM and BI-LSTM and three optimal, bottom-up, top-down reconciliation approach.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

itsayushthada/Bayesian-Statistics

Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 3

bsantraigi/HIER

Official Repo for Implementations of Models/Experiments in "Hierarchical Transformer for Task Oriented Dialog Systems" - NAACL 2021 (Long Paper)

Language: Jupyter Notebook - Size: 57.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

fabrizioschiavi/FSD-Wordpress-template-hierarchy

Simplified text only version of Wordpress template hierarchy schema

Size: 119 KB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 0

tw-presents/be23-lecture7

Bayesian Econometrics 2023 at unimelb: slides for lecture 7: Bayesian VARs

Language: HTML - Size: 3.99 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

cescalara/uhecr_model

Impact of using the UHECR arrival energies to constrain source associations

Language: Jupyter Notebook - Size: 68.6 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 5

CameleoGrey/ProfitTM

A topic modeling framework based on word embeddings and neural nets that self finds optimal number of topics. (TreeProfitTM - hierarchical version)

Language: Python - Size: 3.27 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

araiari/OECD-Bias-in-students-evaluation

Analisi dei voti degli studenti italiani a partire dai dati dell'OECD-Pisa tramite approccio Bayesiano - Analysis of italian students' evaluation of OECD-Pisa dataset with a Bayesian approach

Language: R - Size: 165 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

biscofil/laravel-submodels 📦

Create Laravel submodels

Language: PHP - Size: 45.9 KB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

romunov/secr_resources

Resources that might come handy to anyone using spatially explicit mark-capture-recapture models.

Size: 522 KB - Last synced at: 29 days ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

bsvars/bvarPANELs

Forecasting with Bayesian Hierarchical Panel Vector Autoregressions

Language: R - Size: 15.7 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 3 - Forks: 0

traitecoevo/hmde

Implementation of hierarchical Bayesian longitudinal models to estimate differential equation parameters.

Language: R - Size: 36.7 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 3 - Forks: 3

geoSABINA/sabinaNSDM

Spatially-nested hierarchical SDMs

Language: R - Size: 40.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 1

tasrif-khondaker/H-CapsNet

H-CapsNet: A Capsule Network for Hierarchical Image Classification

Language: Jupyter Notebook - Size: 623 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 1

herolab-uga/hgprl

Hierarchical Gaussian Processes based Multi-Robot Relative Localization

Language: Python - Size: 2.57 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

SerezD/NVAE-from-scratch

Unofficial Pytorch Implementation of the Nouveau Variational AutoEncoder (NVAE) paper.

Language: Python - Size: 610 KB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

linhaowei1/HMC

The code of Hierarchical Multi-label Classification (HMC). It is a final course project of Natural Language Processing and Deep Learning, 2022 Fall.

Language: Python - Size: 16.7 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

pnnl/TransMED

Transfer Learning From Existing Diseases Via Hierarchical Multi-Modal BERT Models

Language: Python - Size: 77.1 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 3

tylertaewook/LCPN-hiernet

Hierarchical image classification model for fashion commerce items based on EfficientNet-b4 and LCPN (Local Classifier per Parent Node) technique.

Language: Python - Size: 97.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

morpheusthewhite/vae-vampprior

Tensorflow implementation of the VAE with VampPrior paper (https://arxiv.org/abs/1705.07120) for the Machine Learning, Advanced Course at KTH

Language: Python - Size: 310 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

kirangauthier/enzymeBayesKucukelbir

Repository for Machine Learning with Probabilistic Programming by Alp Kucukelbir

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

bgautijonsson/isa_trans_covid19

This github repo is a companion to the article A hierarchical Bayesian implementation of a novel inverted generalized logistic growth curve for predicting diagnosed COVID-19 cases in 68 countries.

Language: R - Size: 70.7 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

dachosen1/Applied-Data-Science-Project-

Final Project for STAT 5243: Applied Data Science

Language: R - Size: 92.5 MB - Last synced at: 22 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1

yanshengjia/hierarchical-classifier

A hierarchical classification system based on traditional machine learning models (LR, SVC, GBDT, RF) and deep learning models (LSTM + Attention)

Language: Python - Size: 8.76 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 2

kaybenleroll/bayesian_loss_curves

This repo contains all the code and data for the research I have done into working on the Bayesian hierarchical model on loss curves.

Language: HTML - Size: 866 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 0

StatisticsHealthEconomics/covid

The project can be split into different sub-projects (easy-medium difficulty: meta-analysis of COVID vaccines; medium-high difficulty: estimating excess mortality due to COVID). Requires skills in R and will require some learning on Bayesian modelling.

Size: 28.3 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

OpenThermochronology/EmpiricalBayes

Uses of a form of Empirical Bayes resampling (also known as Hierarchical Bayes) for more robust (U-Th)/He data uncertainty estimation for use in time-temperature history inversions.

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

fl0wbar/advDNIC.estimator

Research on Image Compression using Deep Neural Networks

Language: Python - Size: 6.08 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

kenkellner/pyunmarked

A Python port of the R package unmarked, for analyzing ecological data while accounting for imperfect detection.

Language: Python - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

cbg-ethz/shm

Deep hierarchical models combined with Markov random fields.

Language: Python - Size: 277 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

thomasjdelaney/Multiscale

Project for fitting a multiscale model as described in Kolaczyk et al 2000.

Language: Python - Size: 3.87 MB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

hbmep/hbmep

Hierarchical Bayesian estimation of MEP recruitment curves

Language: Python - Size: 7.05 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

Josuercuevas/own_repos

Ideas developed or integrated with other publicly available projects

Language: Jupyter Notebook - Size: 138 MB - Last synced at: 23 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

abdulrahmans0414/threejs-mastery

Mastering Three.js step by step! This repository documents my learning journey, starting from the basics of 3D web development. Exploring core concepts like scenes, cameras, renderers, geometries, and materials, with hands-on projects and experiments. Gradually progressing to advanced topics like shaders, animations, physics, and WebXR.

Language: JavaScript - Size: 80.4 MB - Last synced at: about 12 hours ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

aliciagilmatute/Analisis-Multinivel-Bayesiano

Este estudio explora el análisis multinivel desde un enfoque bayesiano para evaluar la variabilidad del rendimiento en matemáticas entre 10 centros educativos

Language: R - Size: 14.6 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

hbmep/hbmep-paper

Language: Python - Size: 292 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

donotdespair/Bayesian-Unobserved-Component-Models

We are presenting a Bayesian local-level model and its extensions

Language: TeX - Size: 1.04 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 14

aaron1rcl/multivariate_time_series_interpolation

Multivariate Time series interpolation using hierarchical mixed effects models.

Language: HTML - Size: 15.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

gkhimesboor/HimesBoor_etal_2022_MEE

Himes Boor, G.K., T.L. McGuire, A.J. Warlick, R.L. Taylor, S.J. Converse, J.R. McClung, A.D. Stephens. 2022. Estimating reproductive rates and juvenile survival when offspring ages are uncertain: a novel multievent mark-recapture model applied to an endangered beluga whale population. Methods in Ecology and Evolution

Language: R - Size: 882 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

OpenORMS/vyvodi

Hierarchical modeling in TensorFlow layers

Language: Python - Size: 457 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1

shibing624/NeuralNLP-NeuralClassifier Fork of Tencent/NeuralNLP-NeuralClassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit, add bert hierarchical multi label classification.

Language: Python - Size: 11.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

nihitparikh/Predictive-Analysis-for-Stated-Consumer-Preference-Data-for-Monitor-Industry

This repository includes my marketing/data analytics project on monitor dataset that includes Maximum Likelihood Model, Market Simulation, Cluster Analysis, Market Basket Analysis, Association Rule Mining, Hierarchical Bayesian Regression Model, R script code.

Language: R - Size: 9.29 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0