Alternatives and similar repositories for NCVX

Users that are interested in NCVX are comparing it to the libraries listed below

• sun-umn / PyGRANSO
  PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation
  ☆41Updated 2 months ago
• dair-iitd / dl-with-constraints
  Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'
  ☆23Updated 5 years ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆48Updated 3 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated last year
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆52Updated 5 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• gerrili1996 / DRLR_NIPS2019_exp
  The MATLAB source code
  ☆14Updated 5 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆46Updated last month
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆73Updated 3 years ago
• cvxgrp / dmcp
  A CVXPY extension for multi-convex programming
  ☆46Updated 2 years ago
• oxfordcontrol / CDCS
  An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.
  ☆65Updated 5 years ago
• mathurinm / andersoncd
  This code is no longer maintained.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
• PerformanceEstimation / Performance-Estimation-Toolbox
  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
• cvxgrp / cvxpyrepair
  Code for "Automatic repair of convex optimization problems".
  ☆14Updated 5 years ago
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆40Updated 2 years ago
• massastrello / awesome-implicit-neural-models
  ☆101Updated 4 years ago
• asteroidhouse / INN-exploding-inverses
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Updated 4 years ago
• arobey1 / LipSDP
  LipSDP - Lipschitz Estimation for Neural Networks
  ☆68Updated 3 years ago
• gpeyre / 2021-NonCvxPro
  ☆11Updated 4 years ago
• mstaib / mmd-dro-code
  Accompanying code for our NeurIPS 2019 paper
  ☆11Updated 5 years ago
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆58Updated 4 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆59Updated 2 years ago
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 4 years ago
• fmeirinhos / pytorch-hessianfree
  PyTorch implementation of Hessian Free optimisation
  ☆43Updated 5 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆88Updated 5 months ago
• xhchrn / MS4L2O
  ☆11Updated last year
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago