pylat / adaptive-proximal-algorithmsLinks
A Julia package for adaptive proximal gradient and primal-dual algorithms
☆11Updated last year
Alternatives and similar repositories for adaptive-proximal-algorithms
Users that are interested in adaptive-proximal-algorithms are comparing it to the libraries listed below
Sorting:
- Proximal algorithms for nonsmooth optimization in Julia☆135Updated 3 months ago
- Proximal operators for nonsmooth optimization in Julia☆137Updated last year
- Structured optimization in Julia☆75Updated 2 years ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆31Updated 3 years ago
- Julia implementation for various Frank-Wolfe and Conditional Gradient variants☆111Updated this week
- Newton-type accelerated proximal gradient method in Julia☆12Updated 6 years ago
- Abstract operators for large scale optimization in Julia☆30Updated last year
- Lasso/Elastic Net linear and generalized linear models☆145Updated 10 months ago
- Nonconvex Exterior Point Operator Splitting☆15Updated last year
- Some nonnegative least squares solvers in Julia☆51Updated last year
- Implementation of some simple adaptive MCMC algorithms☆31Updated 7 months ago
- Dense and Sparse Least Squares Optimization☆56Updated 4 months ago
- Exploratory analysis of Bayesian models with Julia☆109Updated this week
- Fast low-rank matrix approximation in Julia☆122Updated last year
- Deep learning 99% fat free☆32Updated 7 months ago
- Optimal transport algorithms for Julia☆109Updated 3 weeks ago
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆137Updated last year
- Semidefinite programming optimization solver☆96Updated 3 months ago
- Use Optim to train Flux models and visualize loss landscapes☆60Updated last year
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆104Updated 3 years ago
- ☆20Updated 2 months ago
- Bayesian Generalized Linear models using `@formula` syntax.☆75Updated last week
- interior point solver for general convex conic optimization problems☆145Updated 2 months ago
- Least angle regression and the lasso covariance test☆25Updated 2 years ago
- Sampling from intractable distributions, with support for distributed and parallel methods☆113Updated this week
- A Julia package to support conjugate prior distributions.☆48Updated 2 years ago
- Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.☆118Updated last year
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆112Updated 3 years ago
- Implementation of variational Bayes inference algorithms☆92Updated this week
- Large scale Gaussian Mixture Models☆101Updated 3 weeks ago