Official PyTorch implementation of Hyperbolic Neural Networks++
☆81Mar 19, 2021Updated 4 years ago
Alternatives and similar repositories for hyperbolic_nn_plusplus
Users that are interested in hyperbolic_nn_plusplus are comparing it to the libraries listed below
Sorting:
- Hyperbolic Neural Networks, pytorch☆87Jul 4, 2019Updated 6 years ago
- Code for paper Fully Hyperbolic Neural Networks☆87Dec 29, 2022Updated 3 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆184Oct 9, 2020Updated 5 years ago
- Source code for the ICML'18 paper "Hyperbolic Entailment Cones for Learning Hierarchical Embeddings", https://arxiv.org/abs/1804.01882☆139Jun 21, 2018Updated 7 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,038Jan 27, 2026Updated last month
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆130Oct 3, 2023Updated 2 years ago
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆564Dec 17, 2025Updated 2 months ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Sep 28, 2021Updated 4 years ago
- Source code for paper "Hyperbolic Graph Attention Network"☆18Jun 10, 2021Updated 4 years ago
- Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"☆17Nov 17, 2020Updated 5 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆145May 19, 2020Updated 5 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆660Jul 25, 2024Updated last year
- ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation☆76Feb 14, 2024Updated 2 years ago
- Hyperbolic SVM in Python☆11Jun 21, 2022Updated 3 years ago
- An implementation of "Subspace Representations for Soft Set Operations and Sentence Similarities" (NAACL 2024)☆10May 31, 2024Updated last year
- Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poinca…☆12Dec 8, 2022Updated 3 years ago
- Supplementary code for the paper "Hyperbolic Image Embeddings".☆393Jan 12, 2022Updated 4 years ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆177Jan 7, 2025Updated last year
- Hyperbolic Graph Neural Networks☆248Oct 26, 2019Updated 6 years ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated last year
- Library that contains implementations of machine learning components in the hyperbolic space☆146Apr 12, 2024Updated last year
- Variational Autoencoder with non-euclidean (hyperbolic) latent space☆12Nov 25, 2022Updated 3 years ago
- Hyperbolic PCA via Horospherical Projections☆78Jun 28, 2023Updated 2 years ago
- Hyperbolic Embeddings☆394Jul 6, 2023Updated 2 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Dec 9, 2021Updated 4 years ago
- This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"☆13Aug 8, 2022Updated 3 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Aug 24, 2022Updated 3 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Mar 3, 2022Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆66Jan 31, 2021Updated 5 years ago
- [NeurIPS '24] Code repo for the paper entitled "Learning Structured Representations with Hyperbolic Embeddings" at NeurIPS 2024☆24Jan 22, 2025Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆21Jun 5, 2018Updated 7 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Dec 8, 2022Updated 3 years ago
- A recreation of the Lorentz embeddings paper from ICML 2018 (Nickel 2018)☆21Jan 16, 2019Updated 7 years ago
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)☆82Jul 6, 2023Updated 2 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆23Feb 4, 2024Updated 2 years ago
- Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"☆26Nov 26, 2024Updated last year
- HGCAE Pytorch implementation. CVPR2021 accepted.☆45Jun 29, 2023Updated 2 years ago