Curvlearn, a Tensorflow based non-Euclidean deep learning framework.

NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

Interact with any LLM service

Facilitating learning, using, and designing graph processing pipelines/models systematically.

HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion

Real-time hyperbolic space ray tracer

Binding curve simulation and experimental data fitting for multi component protein-ligand systems

Implementation of the SIGGRAPH Asia 2016 paper, "Hyperbolic Orbifold Tutte Embeddings"

This is the repository for the KDD 2022 paper "HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering".

Repository for "Hyperbolic Random Forests" (TMLR)

Code for Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin, WACV (2024)

Poincare disk model on HTML5 canvas. Engine ready for development. It allows you to draw polygons, rotate them, move them, it also has a built-in tessellation demo.

This is a copy of Ajit Datar's HyperArt project for generating and viewing repeating hypberbolic patterns.

Compute the hyperbolic arccosine of each element retrieved from an input strided array via a callback function.

Compute the hyperbolic arctangent of a number.

Compute the inverse hyperbolic cotangent.

Compute the hyperbolic cosecant of a number.

Create an iterator which evaluates the hyperbolic sine for each iterated value.