This repo contains papers, books, tutorials and resources on Riemannian optimization.
☆56Feb 4, 2026Updated last month
Alternatives and similar repositories for Awesome-Riemannian-Optimization
Users that are interested in Awesome-Riemannian-Optimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆39Nov 1, 2024Updated last year
- Welcome to the 'In Context Learning Theory' Reading Group☆30Nov 8, 2024Updated last year
- Riemannian Optimization Using JAX☆55Oct 30, 2023Updated 2 years ago
- Riemannian optimization on the symplectic Stiefel manifold☆13Nov 18, 2022Updated 3 years ago
- Julia Package for skew-symmetric matrices☆21Mar 9, 2026Updated 2 weeks ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆39Jul 18, 2025Updated 8 months ago
- ☆10Feb 12, 2020Updated 6 years ago
- [NeurIPS'23] Binary Classification with Confidence Difference☆10May 13, 2024Updated last year
- [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"☆18Feb 20, 2025Updated last year
- This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…☆99Dec 2, 2024Updated last year
- Manopt, a Matlab toolbox for optimization on manifolds☆383Mar 3, 2026Updated 3 weeks ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆26Jun 5, 2021Updated 4 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Dec 28, 2021Updated 4 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Oct 12, 2023Updated 2 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆24Feb 4, 2024Updated 2 years ago
- ☆15Sep 25, 2020Updated 5 years ago
- A curated list of resources for activation engineering☆132Oct 2, 2025Updated 5 months ago
- The Quadratic Primal-Dual Optimizer☆13May 13, 2024Updated last year
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆893Jun 2, 2025Updated 9 months ago
- MixEst: A MATLAB toolbox for mixture-model parameter estimation☆16Feb 23, 2018Updated 8 years ago
- Code: TPAMI2020-Truncated Robust Principle Component Analysis with A General Optimization Framework"☆12Nov 27, 2022Updated 3 years ago
- ☆13May 29, 2023Updated 2 years ago
- Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization☆10Jan 18, 2017Updated 9 years ago
- Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.☆11Nov 1, 2024Updated last year
- Implementation of the Regularized Nonlinear Acceleration algorithm☆12Oct 4, 2018Updated 7 years ago
- Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique…☆11Apr 5, 2024Updated last year
- ManifoldNet Paper Implementation for SPD(n)☆11Nov 10, 2021Updated 4 years ago
- Code for the paper "Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation" (T-CSVT 2021).☆13Dec 6, 2022Updated 3 years ago
- Fun project to run your own LLM chat bot using llama.cpp☆11Jun 9, 2023Updated 2 years ago
- Julia-themed Quarto.☆11Jul 10, 2024Updated last year
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆10Nov 15, 2024Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆134Mar 9, 2026Updated 2 weeks ago
- ☆27Apr 11, 2023Updated 2 years ago
- Parser for bibliographic formats, including BibTeX, in pure Julia☆14Mar 6, 2026Updated 2 weeks ago
- A brief and partial summary of RLHF algorithms.☆147Mar 4, 2025Updated last year
- ☆33Feb 9, 2026Updated last month
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆14Dec 19, 2024Updated last year
- Basic interface for manifolds in Julia☆88Updated this week
- ☆21Mar 17, 2025Updated last year