Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
☆171Apr 24, 2022Updated 4 years ago
Alternatives and similar repositories for Curvature-Learning-Framework
Users that are interested in Curvature-Learning-Framework are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆144Feb 4, 2026Updated 4 months ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27May 21, 2022Updated 4 years ago
- This is for our CIKM2022 paper《Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility 》☆13Mar 3, 2025Updated last year
- ☆15Aug 7, 2023Updated 2 years ago
- Source code for WWW 2021 paper "Lorentzian Graph Convolutional Networks"☆14Jun 11, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Papers and Codes for the deep learning in hyperbolic space☆191Aug 11, 2022Updated 3 years ago
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆598Jun 2, 2026Updated last week
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆13May 28, 2019Updated 7 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆81Mar 19, 2021Updated 5 years ago
- An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.☆178Jan 7, 2025Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆666Jul 25, 2024Updated last year
- HGCAE Pytorch implementation. CVPR2021 accepted.☆45Jun 29, 2023Updated 2 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,074May 9, 2026Updated last month
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Mar 3, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [NeurIPS 2021] code for "Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representation…☆17Oct 20, 2022Updated 3 years ago
- ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation☆80Feb 14, 2024Updated 2 years ago
- Hyperbolic Image Segmentation, CVPR 2022☆96Aug 26, 2022Updated 3 years ago
- Supplementary code for the paper "Hyperbolic Image Embeddings".☆393Jan 12, 2022Updated 4 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆67Oct 23, 2022Updated 3 years ago
- Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces☆60Mar 23, 2021Updated 5 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆147May 19, 2020Updated 6 years ago
- REF//biendata.com/competition/CCKS2018_3/make-submission/☆17Aug 12, 2018Updated 7 years ago
- Hyperbolic PCA via Horospherical Projections☆80Jun 28, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆45Apr 3, 2020Updated 6 years ago
- ☆83Jan 21, 2019Updated 7 years ago
- Python/Cython wrapper for liblbfgs☆27Sep 23, 2024Updated last year
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆56Sep 16, 2021Updated 4 years ago
- Implementation for Variational Information Bottleneck for Effective Low-resource Fine-tuning, ICLR 2021☆43May 10, 2021Updated 5 years ago
- 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
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆133Oct 3, 2023Updated 2 years ago
- Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"☆10Jul 14, 2020Updated 5 years ago
- A distributed graph deep learning framework.☆2,900Aug 19, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution☆21Jul 13, 2020Updated 5 years ago
- Map maker is a command line tool and library for easily generating maps from structured data.☆16Mar 5, 2024Updated 2 years ago
- ☆17Jul 17, 2023Updated 2 years ago
- Hyperbolic Hierarchical Clustering.☆208Oct 5, 2023Updated 2 years ago
- Hyperbolic Graph Neural Networks☆251Oct 26, 2019Updated 6 years ago
- ESICCC: A systematic computational framework for evaluation, selection and integration of cell-cell communication inference methods☆13Jan 10, 2024Updated 2 years ago
- ☆21Jan 21, 2024Updated 2 years ago