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.
  ☆709Updated 8 months ago
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,692Updated last month
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,473Updated last year
• locuslab / optnet
  OptNet: Differentiable Optimization as a Layer in Neural Networks
  ☆531Updated 5 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆678Updated 3 years ago
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,251Updated this week
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,335Updated last year
• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆819Updated last week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆962Updated 3 weeks ago
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,250Updated 4 years ago
• google-deepmind / rlax
  ☆1,311Updated 3 weeks ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,615Updated 3 years ago
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,638Updated 4 months ago
• facebookresearch / mbrl-lib
  Library for Model Based RL
  ☆995Updated 9 months ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆808Updated last year
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆583Updated 3 weeks ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,051Updated last week
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆335Updated 5 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,000Updated 4 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆748Updated 2 years ago
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆5,922Updated last month
• qpsolvers / qpsolvers
  Quadratic programming solvers in Python with a unified API
  ☆660Updated 2 weeks ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆600Updated 2 years ago
• cvxopt / cvxopt
  CVXOPT -- Python Software for Convex Optimization
  ☆1,016Updated 6 months ago
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,021Updated this week
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,796Updated 2 months ago
• PythonOT / POT
  POT : Python Optimal Transport
  ☆2,539Updated last week
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,429Updated 7 months ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,611Updated last week
• martius-lab / blackbox-backprop
  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…
  ☆343Updated 3 years ago