Projects in Awesome Lists tagged with first-order-methods
A curated list of projects in awesome lists tagged with first-order-methods .
https://github.com/cvxgrp/scs
Splitting Conic Solver
cone-programming convex-optimization first-order-methods linear-programming numerical-optimization optimization optimization-algorithms quadratic-programming semidefinite-programming solver
Last synced: 28 Dec 2025
https://github.com/juliafirstorder/proximaloperators.jl
Proximal operators for nonsmooth optimization in Julia
admm first-order-methods julia julia-language nonlinear-programming nonsmooth-optimization numerical-optimization optimization prox proximal-algorithms proximal-operators
Last synced: 01 Jul 2025
https://github.com/zib-iol/frankwolfe.jl
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
conditional-gradients first-order-methods frank-wolfe hacktoberfest julia optimization optimization-algorithms
Last synced: 10 Feb 2026
https://github.com/zib-iol/boscia.jl
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
first-order-methods frank-wolfe julia mixed-integer-programming nonlinear-optimization optimization optimization-algorithms
Last synced: 07 May 2025
https://github.com/juliafirstorder/separableoptimization.jl
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
admm admm-algorithm constrained-optimization convex convex-optimization first-order first-order-methods julia julia-language linearly-constrained linearly-separable nonsmooth-optimization optimization piecewise piecewise-quadratic prox proximal-algorithms proximal-operators quadratic separable-optimization
Last synced: 13 Apr 2025
https://github.com/shailesh1729/tisp
Topics in Signal Processing
convex-optimization first-order-methods proximal-algorithms sparse-representations
Last synced: 04 Jan 2026
https://github.com/aig-upf/sltp
The SLTP Generalized Planning Framework: Sample, Learn, Transform & Plan
first-order-methods generalized-planning logic planning
Last synced: 01 Jul 2026
https://github.com/farukalpay/psd
Perturbed Saddle-escape Descent (PSD): a first-order optimizer that escapes strict saddle points in nonconvex problems.
first-order-methods gradient-descent machine-learning nonconvex-optimization numerical-methods optimization python saddle-points
Last synced: 20 Jan 2026
