Differentiable convex optimization layers
☆2,148Oct 24, 2026Updated last week
Alternatives and similar repositories for cvxpylayers
Users that are interested in cvxpylayers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A fast and differentiable QP solver for PyTorch.☆804Sep 3, 2024Updated 2 years ago
- Differentiation through cone programs☆121May 20, 2026Updated 5 months ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆595Mar 26, 2020Updated 6 years ago
- A Python-embedded modeling language for convex optimization problems.☆6,382Updated this week
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆86Nov 14, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Differentiable Optimization-Based Modeling for Machine Learning☆351Oct 28, 2019Updated 7 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,067Oct 16, 2026Updated 2 weeks ago
- A library for differentiable nonlinear optimization☆2,061Jan 16, 2025Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,491Apr 4, 2025Updated last year
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆1,081Aug 27, 2024Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,624Mar 25, 2022Updated 4 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,583May 2, 2024Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,931Oct 2, 2026Updated 3 weeks ago
- Constrained optimization toolkit for PyTorch☆712Jun 7, 2026Updated 4 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆242Sep 3, 2023Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models☆812Jul 4, 2022Updated 4 years ago
- The differentiable OSQP solver layer for PyTorch☆67Dec 26, 2022Updated 3 years ago
- Bayesian optimization in PyTorch☆3,643Updated this week
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year
- Optax is a gradient processing and optimization library for JAX.☆2,360Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated last year
- A Python toolbox for performing gradient-free optimization☆4,221Oct 20, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming☆696Oct 7, 2026Updated 3 weeks ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,628Aug 26, 2026Updated 2 months ago
- Deep universal probabilistic programming with Python and PyTorch☆9,072Oct 5, 2026Updated 3 weeks ago
- Splitting Conic Solver☆638Updated this week
- Deep Declarative Networks☆253Sep 29, 2026Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,774Updated this week
- Efficiently computes derivatives of NumPy code.☆7,549Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,551Updated this week
- ☆79May 26, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,252Oct 20, 2026Updated last week
- Code generation with CVXPY☆199Oct 22, 2026Updated last week
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,194Jul 17, 2026Updated 3 months ago
- A differentiable LCP physics engine in PyTorch.☆317Jan 8, 2021Updated 5 years ago
- Flax is a neural network library for JAX that is designed for flexibility.☆7,362Updated this week
- POT : Python Optimal Transport☆2,860Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,120Sep 6, 2026Updated last month