cvxpy / cvxpylayersLinks
Differentiable convex optimization layers
☆1,958Updated last month
Alternatives and similar repositories for cvxpylayers
Users that are interested in cvxpylayers are comparing it to the libraries listed below
Sorting:
- A fast and differentiable QP solver for PyTorch.☆735Updated 10 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,732Updated 2 weeks ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,506Updated last year
- Constrained optimization toolkit for PyTorch☆687Updated 3 years ago
- Bayesian optimization in PyTorch☆3,292Updated this week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,660Updated 6 months ago
- Python implementation of CMA-ES☆1,198Updated last month
- Fast and Easy Infinite Neural Networks in Python☆2,354Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆979Updated 3 months ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆838Updated last month
- POT : Python Optimal Transport☆2,579Updated last month
- A PyTorch implementation of L-BFGS.☆606Updated 2 years ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆542Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models☆753Updated 3 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,622Updated 3 years ago
- Fast, differentiable sorting and ranking in PyTorch☆817Updated last month
- CVXOPT -- Python Software for Convex Optimization☆1,018Updated 3 weeks ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,107Updated this week
- A Python toolbox for performing gradient-free optimization☆4,094Updated last month
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,448Updated 10 months ago
- Gaussian processes in TensorFlow☆1,878Updated last month
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆605Updated last week
- Fast Differentiable Sorting and Ranking☆606Updated last year
- Differentiable Optimization-Based Modeling for Machine Learning☆338Updated 5 years ago
- Optax is a gradient processing and optimization library for JAX.☆1,936Updated this week
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆757Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,693Updated 3 weeks ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 6 months ago
- A Python-embedded modeling language for convex optimization problems.☆5,820Updated last week