Riemannian Adaptive Optimization Methods with pytorch optim
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May 9, 2026 - Python
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riemannian-optimization
Here are 24 public repositories matching this topic...
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
global-optimization slam graph-slam semidefinite-programming pose-graph-optimization se-sync pose-synchronization riemannian-optimization pose-graph-slam certifiable-robustness certifiable-estimation certifiable-perception
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Aug 15, 2024 - Jupyter Notebook
A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.
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Nov 14, 2023 - C++
Implementation of Deep SPDNet in pytorch
deep-learning pytorch dimensionality-reduction symmetric-positive-definite riemannian-geometry riemannian-manifold riemannian-optimization
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Sep 23, 2023 - Python
Riemannian stochastic optimization algorithms: Version 1.0.3
machine-learning big-data optimization machine-learning-algorithms constrained-optimization sgd manifold nonlinear-optimization optimization-algorithms large-scale-learning online-learning stochastic-optimizers variance-reduction stochastic-gradient-descent nonlinear-optimization-algorithms stochastic-optimization riemannian-manifold riemannian-optimization non-convex-optimization
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Jan 5, 2023 - MATLAB
Official Implementation of CVPR 2023 paper: "Meta-Learning with a Geometry-Adaptive Preconditioner"
riemannian-optimization few-shot-classifcation meta-learning-algorithm cross-domain-few-shot-learning few-shot-regression preconditioned-gradient-descent
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May 23, 2023 - Python
[NeurIPS 2025] Tensor network with RL for improved QAS
reinforcement-learning machine-learning-algorithms tensor-networks state-of-the-art riemannian-optimization quantum-architecture-search
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Jan 14, 2026 - Python
Subsampled Riemannian trust-region (RTR) algorithms
big-data optimization optimization-algorithms gradient-descent-algorithm stochastic-optimizers stochastic-gradient-descent sampling-methods subsample large-scale-optimizations riemannian-geometry riemannian-manifold trust-region sub-sampling second-order-optimization riemannian-optimization
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Jan 5, 2023 - MATLAB
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
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Dec 10, 2021 - MATLAB
Code for my master thesis at the Scientific Computing chair @ TUM under the supervision of Prof. Christian Mendl
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Aug 4, 2024 - Jupyter Notebook
minimum bipartite matching via Riemann optimization
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Jan 6, 2025 - Python
Codebase for simulating and estimating the Attractor-Based Coevolving Dot Product Random Graph Model (ABCDPRGM), a dynamic network model for analyzing polarization and flocking in graph data. Includes synthetic experiments and real-data analysis using Age of Empires IV ranked match data.
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Apr 22, 2025 - Jupyter Notebook
Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.
r in-progress glm manifold-optimization regression-algorithms riemannian-manifold riemannian-optimization
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Mar 18, 2020 - R
Geodesic Toolbox: Riemannian metric and Finsler metric learning in PyTorch
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Jul 31, 2026 - Python
Master project: Bures-Wasserstein barycenters
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Nov 11, 2024 - MATLAB
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Jan 22, 2025 - TeX
Continual PEFT for abliterated LLMs under 8GB via Stiefel-manifold-constrained updates. Best observed run: 35.91% reasoning accuracy, -1.46% BWT on a single RTX 4060 Ti (results vary widely across runs — see README limitations).
machine-learning deep-learning transformers pytorch lora fine-tuning peft continual-learning catastrophic-forgetting stiefel-manifold riemannian-optimization llm low-rank-adaptation local-llm qwen
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Jul 28, 2026 - Python
Riemannian optimization of coherent information of quantum channels
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Mar 8, 2026 - Python
Optimization of Kemeny's Constant
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Jun 15, 2026 - MATLAB
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