Hierarchical Time Series Forecasting with a familiar API

code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

Analyze graph/hierarchical performance data using pandas dataframes

A demo for storing and querying trees in Django using PostgreSQL

TreeTime is a data organisation, management and analysis tool. A tree is a hierarchical structure that arranges information in units and sub-units. TreeTime uses linked trees (one data item can be part of different distinct trees) to store and organise any general purpose data.

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

A hybrid, high-performance, open-source framework for working with large trees in Django

Compare the structure of two netCDF (or HDF5) files

Benchmarking different methodologies in retrieving hierarchical data using Flask, SQLAlchemy and Postgres

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

Hierarchical Time Series Forecasting

Draw sunburst charts/hierarchical pie plots ("multi-level" pie plots of hierarchical data as e.g., in disk usage diagrams)

An implementation of the closure table pattern in Python + SQL

A RAG Proof of Concept that delivers comprehensive, context-aware insights on healthcare data privacy through a novel knowledge tree.

Command line mind map searcher

Simple, minimal, but powerful tools to handle any kind of hierarchical (tree) structures

Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning

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

Code for the paper Severity of Error in Hierarchical Datasets

Complete implementation of Lobachevsky's hyperbolic geometry for PyTorch with up to 903% improvements on hierarchical data