Alternatives and similar repositories for ac-dc

Users that are interested in ac-dc are comparing it to the libraries listed below

• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆94Updated 3 years ago
• snap-stanford / snapvx
  ☆66Updated 5 years ago
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆194Updated 12 years ago
• ramkikannan / planc
  Distributed NMF/NTF Library
  ☆51Updated 11 months ago
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆33Updated 8 years ago
• foges / pogs
  Proximal Operator Graph Solver
  ☆89Updated 2 years ago
• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 8 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• cvxr / TFOCS
  A MATLAB toolbox for building first-order solvers for convex models.
  ☆141Updated 3 years ago
• uclaopt / TMAC
  TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods
  ☆48Updated 8 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆118Updated 2 months ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 10 years ago
• gowerrobert / StochOpt.jl
  A suite of stochastic optimization methods for solving the empirical risk minimization problem.
  ☆17Updated 5 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆115Updated 12 years ago
• martinResearch / PySparseLP
  python algorithms to solve sparse linear programming problems
  ☆31Updated 2 years ago
• jmdvinodjmd / LIBS2ML
  LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
  ☆12Updated 4 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• nbonneel / network_simplex
  Fast optimal transport code
  ☆58Updated 5 years ago
• lchizat / optimal-transport
  Optimal transport and generalizations
  ☆66Updated 6 years ago
• Simon-Lacoste-Julien / linearFW
  Frank-Wolfe optimization variants with a linear convergence rate
  ☆22Updated 9 years ago
• keskarnitish / minSQN
  Optimization using Stochastic quasi-Newton methods
  ☆43Updated 8 years ago
• optml / CoCoA
  ☆18Updated 7 years ago
• cpmusco / bksvd
  Fast randomized block Krylov method for the singular value decomposition
  ☆41Updated 8 years ago
• pawelswoboda / LP_MP
  Solving LPs with convergent message passing
  ☆23Updated 7 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• PythonOptimizers / NLP.py
  A Python environment for large-scale optimization.
  ☆30Updated 8 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆26Updated 6 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆23Updated 2 years ago