Alternatives and similar repositories for cvxpylayers

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

• locuslab / qpth
  A fast and differentiable QP solver for PyTorch.
  ☆773Updated last year
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,546Updated last year
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆706Updated 5 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,816Updated last month
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,691Updated last year
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,434Updated last week
• locuslab / optnet
  OptNet: Differentiable Optimization as a Layer in Neural Networks
  ☆570Updated 5 years ago
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,502Updated last year
• PythonOT / POT
  POT : Python Optimal Transport
  ☆2,712Updated 2 weeks ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆785Updated 3 years ago
• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆877Updated 6 months ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆1,010Updated last week
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆623Updated 2 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,364Updated last year
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,151Updated last month
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,010Updated 4 years ago
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,026Updated 2 months ago
• facebookresearch / theseus
  A library for differentiable nonlinear optimization
  ☆1,982Updated 11 months ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,137Updated 7 months ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆847Updated 6 months ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆614Updated last year
• CMA-ES / pycma
  Python implementation of CMA-ES
  ☆1,264Updated last month
• cvxpy / cvxpy
  A Python-embedded modeling language for convex optimization problems.
  ☆6,042Updated this week
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆789Updated last year
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,627Updated 3 years ago
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆623Updated 3 weeks ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,859Updated last week
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆770Updated 2 years ago
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆6,285Updated 8 months ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆370Updated 7 months ago