HazyResearch / HoroPCALinks
Hyperbolic PCA via Horospherical Projections
☆73Updated 2 years ago
Alternatives and similar repositories for HoroPCA
Users that are interested in HoroPCA are comparing it to the libraries listed below
Sorting:
- Learning Tree structures and Tree metrics☆23Updated last year
- Hyperbolic Hierarchical Clustering.☆204Updated 2 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆140Updated 5 years ago
- A Python package for intrinsic dimension estimation☆93Updated 3 weeks ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Library that contains implementations of machine learning components in the hyperbolic space☆143Updated last year
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated last year
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆128Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Contrastive neighbor embeddings☆55Updated last month
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆151Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆38Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 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
- ☆109Updated 3 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- ☆25Updated last year
- Neural Additive Models (Google Research)☆71Updated 4 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆77Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago