This repo contains papers, books, tutorials and resources on Riemannian deep learning.
☆78Mar 10, 2026Updated 5 months ago
Alternatives and similar repositories for Awesome-Riemannian-Deep-Learning
Users that are interested in Awesome-Riemannian-Deep-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆21Mar 2, 2025Updated last year
- ☆20Feb 19, 2026Updated 5 months ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆25Feb 4, 2024Updated 2 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Nov 2, 2022Updated 3 years ago
- (AAAI23) Riemannian Local Mechanism for SPD Neural Networks☆11Mar 11, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆77Aug 30, 2023Updated 2 years ago
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆65Mar 18, 2026Updated 5 months ago
- (CVPR24) Riemannian Multinomial Logistics Regression for SPD Neural Networks☆15Feb 5, 2025Updated last year
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆13May 28, 2022Updated 4 years ago
- Four commonly used operations on the symmetric positive definite manifold☆30Jul 8, 2022Updated 4 years ago
- The official implementation of “DDBFusion: An unified image decomposition and fusion framework based on dual decomposition and B ́ezier c…☆16Dec 8, 2025Updated 8 months ago
- ☆52Jul 24, 2026Updated 3 weeks ago
- Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications☆609Aug 6, 2026Updated last week
- ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation☆80Feb 14, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Jun 5, 2021Updated 5 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆63Oct 12, 2022Updated 3 years ago
- Toward Fully-End-to-End Listened Speech Decoding from EEG Signals (Interspeech 2024)☆28Jan 3, 2025Updated last year
- ☆30Dec 4, 2024Updated last year
- A library for optimization on Riemannian manifolds☆110Dec 27, 2025Updated 7 months ago
- Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral☆24Mar 4, 2025Updated last year
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆19Jul 8, 2021Updated 5 years ago
- Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetri…☆20Mar 19, 2025Updated last year
- Repository for the SPDTransNet model, a Transformer-based architecture to analyze sequences of SPD matrices without loss of their Riemann…☆37Oct 15, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆24Sep 22, 2022Updated 3 years ago
- [TNNLS 2025] Language-guided contrastive learning for M/EEG-based image recognition.☆36Dec 2, 2024Updated last year
- ☆14Nov 7, 2025Updated 9 months ago
- This is the code for the paper Statistical Recurrent Models on Manifold valued Data☆17May 16, 2021Updated 5 years ago
- We introduce XBrainLab, an open-source user-friendly software, for accelerated interpretation of neural patterns from EEG data based on c…☆14Dec 5, 2025Updated 8 months ago
- auto star for repo lists☆11Aug 26, 2023Updated 2 years ago
- Repository containing the code used for running the experiments of the Poincare ResNet paper☆29Aug 25, 2023Updated 2 years ago
- The code implementation of our paper "Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction", GRSL, 2019☆15Aug 20, 2021Updated 4 years ago
- Operations for CNN on manifolds.☆14Mar 19, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- FBNet code for FGOC in aerial images☆15Jun 9, 2022Updated 4 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆69Jun 5, 2021Updated 5 years ago
- ☆60Jun 30, 2026Updated last month
- Reducing the Dimensionality of Data with Neural Network☆16Apr 27, 2016Updated 10 years ago
- [ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding☆333Aug 7, 2026Updated last week
- Public EEG Dataset☆83May 23, 2023Updated 3 years ago
- Hyperbolic Safety-Aware Vision-Language Models. CVPR 2025☆31Apr 8, 2025Updated last year