Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
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Updated
Apr 24, 2022 - Python
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
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Real-time hyperbolic space ray tracer
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
Binding curve simulation and experimental data fitting for multi component protein-ligand systems
Code for benchmarking the speed of DeepSeek R1 from different providers' APIs.
Repository for "Hyperbolic Random Forests" (TMLR)
A Hyperbolic 3D Rendering Engine
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".
Code for Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin, WACV 2024
Multi-lattice codebook retrieval cognitive architecture. JAX training with C99 zero-parameter inference engine.
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.
The code for the paper "HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning" (ICCV'25).
This is a copy of Ajit Datar's HyperArt project for generating and viewing repeating hypberbolic patterns.
🔬 ASRP Blood Plasma Coagulation Study | Experimental datasets, imaging & analysis | Bilingual EN/RU | Part of ASRP.drift Ecosystem | KZ 2025/1095.1 Patent Research
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