ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
☆55Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for HyperbolicNF
Users that are interested in HyperbolicNF are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Mar 16, 2022Updated 4 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆129Jul 6, 2023Updated 2 years ago
- ☆34May 31, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆133Oct 3, 2023Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆60Sep 28, 2021Updated 4 years ago
- Code for the paper "A Fully Hyperbolic Neural Model for Hierarchical Multi-class Classification"☆16Nov 17, 2020Updated 5 years ago
- Embedding graphs in symmetric spaces☆30Sep 30, 2021Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆67Jan 31, 2021Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Dec 9, 2020Updated 5 years ago
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago
- Examples of more involved applications using Geomstats☆33Mar 6, 2021Updated 5 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆81Mar 19, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆17Nov 8, 2021Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Nov 22, 2022Updated 3 years ago
- Hyperbolic Hierarchical Clustering.☆208Oct 5, 2023Updated 2 years ago
- JAX exponential map normalising flows on sphere☆17Oct 4, 2020Updated 5 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- ☆10Apr 2, 2018Updated 8 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆275Sep 19, 2023Updated 2 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆80Jun 21, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆55Jul 20, 2022Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆43Oct 26, 2020Updated 5 years ago
- Predictive State Recurrent Neural Networks☆18May 18, 2020Updated 6 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,074May 9, 2026Updated last month
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Nov 20, 2021Updated 4 years ago
- ☆11Apr 16, 2020Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Code for AAAI 2019 Network Interpretability workshop paper☆16Jul 5, 2021Updated 4 years ago
- Papers and Codes for the deep learning in hyperbolic space☆191Aug 11, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64May 27, 2016Updated 10 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Papers on Topology + Learning.☆14Feb 12, 2020Updated 6 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Jul 15, 2022Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆184Aug 19, 2021Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆234Nov 13, 2020Updated 5 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 3 years ago