xiaoiker / Awesome-Hyperbolic-NeuralNetworksLinks
Papers and Codes for the deep learning in hyperbolic space
☆184Updated 3 years ago
Alternatives and similar repositories for Awesome-Hyperbolic-NeuralNetworks
Users that are interested in Awesome-Hyperbolic-NeuralNetworks are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of Hyperbolic Neural Networks++☆78Updated 4 years ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆170Updated 10 months ago
- Code for paper Fully Hyperbolic Neural Networks☆84Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆134Updated 5 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆232Updated 4 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- ☆22Updated 3 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆39Updated 4 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆541Updated 3 months ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆265Updated 3 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference☆107Updated 3 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated 2 years ago
- Multimodal Mixture-of-Experts VAE☆217Updated 2 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆46Updated 5 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Differentiable Top-k Classification Learning☆87Updated 2 years ago
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆31Updated 5 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆159Updated 5 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆459Updated 3 years ago
- Optimal Transport Dataset Distance☆173Updated 3 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆126Updated last year
- Implementation of Inexact Proximal point method for Optimal Transport☆50Updated 4 years ago