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20 search results found

Train and visualize Hierarchical Attention Networks

Data To Text Hierarchical ⭐ 65

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

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

Hierarchicalattentionnetworks ⭐ 31

Hierarchical Attention Networks for Document Classification in Keras

Message Passing Attention Networks for Document Understanding

Deep_hierarchical_classification ⭐ 24

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

Figet Hyperbolic Space ⭐ 20

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

Clustering In Python ⭐ 17

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.

Typed Tree ⭐ 16

TypedTree provides a tree data structure that allows adding type information to its nodes and references to other nodes; useful for visualisation purposes

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

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

A toolbox for inference of mixture models

Deep exponential families for single-cell data.

Conduct simulation-based inference on strong gravitational lensing systems.

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

Bayesian Modeling ⭐ 9

Case studies with Bayesian methods

Rhs_hiernse ⭐ 8

Code for our ICLR 2020 submission "Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach"

Closure Table ⭐ 7

An implementation of the closure table pattern in Python + SQL

Probabilistic Programming Packages ⭐ 6

Trying out different probabilistic programming packages on the same statistical model

Double Fusion ⭐ 6

A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data

Simplehierarchy ⭐ 5

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

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