Alternatives and similar repositories for CBXpy

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

• fabian-sp / ncOPT
  Constrained optimization for Pytorch using the SQP-GS algorithm
  ☆37Updated last year
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆63Updated 2 weeks ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆137Updated 6 months ago
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆27Updated 4 months ago
• AI4OPT / ML4OPF
  PyTorch utilities for Optimal Power Flow
  ☆26Updated 8 months ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 6 months ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆59Updated 2 weeks ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 6 months ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆78Updated last month
• cvxgrp / torch_linops
  A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
  ☆16Updated last week
• HxSun08 / Alt-Diff
  ☆26Updated last year
• hvarfner / vanilla_bo_in_highdim
  ☆34Updated 9 months ago
• pnnl / NeuralDAEs
  Learning Neural Differential Algebraic Equations via Operator Splitting
  ☆21Updated 4 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆117Updated last month
• sorooshafiee / Regularization-via-Transportation
  Source files for our regularization paper!
  ☆16Updated 6 years ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆30Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆65Updated last year
• bstellato / mlopt
  The Machine Learning Optimizer
  ☆106Updated 2 years ago
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆40Updated 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…
  ☆55Updated last year
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 5 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆168Updated 4 years ago
• sshin23 / opf-on-gpu
  ☆10Updated last year
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆27Updated 7 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆111Updated 4 months ago
• stellatogrp / mro_experiments
  ☆30Updated 8 months ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆59Updated 3 years ago
• krishnap25 / sqwash
  Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.
  ☆12Updated 2 years ago