code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
☆13Sep 12, 2020Updated 5 years ago
Alternatives and similar repositories for Learning-to-optimize-on-SPD-manifolds
Users that are interested in Learning-to-optimize-on-SPD-manifolds are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆69Jun 5, 2021Updated 5 years ago
- ☆18Mar 10, 2026Updated 5 months ago
- Four commonly used operations on the symmetric positive definite manifold☆30Jul 8, 2022Updated 4 years ago
- ManifoldNet Paper Implementation for SPD(n)☆11Nov 10, 2021Updated 4 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Jan 5, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆13Nov 5, 2024Updated last year
- ☆13Sep 14, 2022Updated 3 years ago
- ☆15May 29, 2023Updated 3 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆17Nov 8, 2021Updated 4 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆16Mar 15, 2022Updated 4 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆40Oct 12, 2018Updated 7 years ago
- ☆13Oct 31, 2021Updated 4 years ago
- ☆22Dec 18, 2025Updated 7 months 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.
- 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
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆61Sep 28, 2021Updated 4 years ago
- [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"☆25Oct 16, 2023Updated 2 years ago
- S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations☆14Updated this week
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 6 years ago
- PyTorch code of “Out-of-Sample Representation Learning for Multi-Relational Graphs” (EMNLP 2020)☆10Oct 2, 2020Updated 5 years ago
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks☆17Jan 15, 2025Updated last year
- Code for the paper "Refining Language Model with Compositional Explanation" (NeurIPS 2021)☆11Oct 25, 2021Updated 4 years ago
- [Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification☆13May 28, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 【ICLR 2025 🔥】MMKE-Bench, a challenging benchmark for evaluating diverse semantic editing in real-world scenarios.☆23Apr 19, 2025Updated last year
- 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
- Transformer Doctor: Diagnosing and Treating Vision Transformers☆11Jan 15, 2025Updated last year
- explore the FV3 data for parameterization☆18Jan 7, 2025Updated last year
- 一个极其简单的latex编写英文论文的教程,目标是可以让学习者在有对应模板的前提下,1小时内学会使用latex撰写自己的论文。☆14Apr 17, 2022Updated 4 years ago
- ☆30Nov 29, 2023Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆85Jan 10, 2026Updated 6 months ago
- 这项目主要收集大规模GNN(图神经网络)的相关研究☆10May 26, 2020Updated 6 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆15Apr 12, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".☆15Apr 12, 2023Updated 3 years ago
- MSTDA☆11Oct 16, 2024Updated last year
- ☆91Mar 21, 2022Updated 4 years ago
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Mar 23, 2018Updated 8 years ago
- Dimensionality reduction of calcium-imaged neuronal population activity☆16Feb 1, 2023Updated 3 years ago
- ☆16Sep 12, 2019Updated 6 years ago
- Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"☆12Feb 15, 2023Updated 3 years ago