Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
☆146May 19, 2020Updated 6 years ago
Alternatives and similar repositories for hyperbolic-learning
Users that are interested in hyperbolic-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆133Oct 3, 2023Updated 2 years ago
- Hyperbolic Embeddings☆395Jul 6, 2023Updated 3 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆81Mar 19, 2021Updated 5 years ago
- Hyperbolic PCA via Horospherical Projections☆80Jun 28, 2023Updated 3 years ago
- Hyperbolic SVM in Python☆12Jun 21, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Learning neural network embeddings in hyperbolic spaces☆14Dec 4, 2019Updated 6 years ago
- Papers and Codes for the deep learning in hyperbolic space☆191Aug 11, 2022Updated 4 years ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆145Jun 21, 2018Updated 8 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,092May 9, 2026Updated 3 months ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆186Oct 9, 2020Updated 5 years ago
- PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"☆1,756May 23, 2025Updated last year
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆26Dec 9, 2021Updated 4 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆670Jul 25, 2024Updated 2 years ago
- K-Means algorithm in the Poincare Disk Model☆16Nov 12, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Hyperbolic Hierarchical Clustering.☆209Oct 5, 2023Updated 2 years ago
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆35May 6, 2020Updated 6 years ago
- Learning Tree structures and Tree metrics☆24Aug 8, 2024Updated 2 years ago
- Supplementary code for the paper "Hyperbolic Image Embeddings".☆393Jan 12, 2022Updated 4 years ago
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆151Sep 8, 2021Updated 4 years ago
- Code for hyperboloid embeddings for knowledge graph entities☆38Jun 2, 2025Updated last year
- Hyperbolic Neural Networks, pytorch☆87Jul 4, 2019Updated 7 years ago
- Hyperbolic Graph Neural Networks☆251Oct 26, 2019Updated 6 years ago
- A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…☆23Jan 26, 2018Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆613Aug 6, 2026Updated 3 weeks ago
- Fast Laplacian estimation☆17May 31, 2024Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆67Oct 23, 2022Updated 3 years ago
- Multi-relational Poincaré Graph Embeddings☆162Oct 9, 2019Updated 6 years ago
- Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces☆61Mar 23, 2021Updated 5 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆45Jun 29, 2023Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆61Sep 28, 2021Updated 4 years ago
- Implementation of the Influence Maximization Benchmarker (IMB)☆14Aug 10, 2023Updated 3 years ago
- A Python module for detecting, analysing and visualising persistent homological features of complex networks☆32May 24, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [NeurIPS '24] Code repo for the paper entitled "Learning Structured Representations with Hyperbolic Embeddings" at NeurIPS 2024☆24Jan 22, 2025Updated last year
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Apr 1, 2020Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Jun 14, 2019Updated 7 years ago
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆13May 28, 2019Updated 7 years ago
- Skip-gram word embeddings in hyperbolic space☆34Sep 28, 2018Updated 7 years ago
- Code for paper Fully Hyperbolic Neural Networks☆86Dec 29, 2022Updated 3 years ago