cvxgrp / a2drLinks
Anderson accelerated Douglas-Rachford splitting
☆29Updated 4 years ago
Alternatives and similar repositories for a2dr
Users that are interested in a2dr are comparing it to the libraries listed below
Sorting:
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…☆54Updated last year
- Python interface for SCS☆43Updated last week
- Proximal optimization in pure python☆118Updated 3 years ago
- Anderson Acceleration☆20Updated 3 years ago
- Differentiation through cone programs☆103Updated 2 weeks ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- A CVXPY extension for convex-concave programming☆130Updated last year
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated this week
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Generic and efficient MATLAB solver for nonsmooth optimization problems☆27Updated 7 months ago
- Efficient Algorithms for L0 Regularized Learning☆102Updated last year
- A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.☆14Updated 6 months ago
- ☆15Updated 8 years ago
- N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.☆11Updated 8 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- A pure Matlab implementation of L-BFGS-B (LBFGSB)☆61Updated 11 months ago
- TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods☆48Updated 8 years ago
- A Python library for mathematical optimization☆141Updated 11 months ago
- Proximal algorithms for nonsmooth optimization in Julia☆134Updated 3 months ago
- Python Algorithms for Randomized Linear Algebra☆56Updated 2 years ago
- A CVXPY extension for multi-convex programming☆46Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆37Updated 6 years ago
- More user-friendly version of multi-scale algorithm library for optimal transport.☆21Updated 5 months ago
- Cone program refinement☆10Updated 5 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- A CVXPY extension for saddle problems☆26Updated last month
- A sparse KLU solver for PyTorch.☆65Updated 3 years ago