HazyResearch / HoroPCALinks
Hyperbolic PCA via Horospherical Projections
☆74Updated 2 years ago
Alternatives and similar repositories for HoroPCA
Users that are interested in HoroPCA are comparing it to the libraries listed below
Sorting:
- Hyperbolic Hierarchical Clustering.☆205Updated 2 years ago
- Learning Tree structures and Tree metrics☆24Updated last year
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆141Updated 5 years ago
- A Python package for intrinsic dimension estimation☆94Updated 2 months ago
- Library that contains implementations of machine learning components in the hyperbolic space☆143Updated last year
- Contrastive neighbor embeddings☆57Updated last month
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆21Updated last year
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆78Updated 4 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 4 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆48Updated 7 months ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 5 years ago
- Differentiable Sorting Networks☆125Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Code for Optimal Transport for structured data with application on graphs☆103Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago