Differentiable convex optimization layers
☆2,118May 19, 2026Updated 2 months ago
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.☆799Sep 3, 2024Updated last year
- Differentiation through cone programs☆118May 20, 2026Updated 2 months ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆587Mar 26, 2020Updated 6 years ago
- A Python-embedded modeling language for convex optimization problems.☆6,283Updated this week
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆84Nov 14, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,051Jun 4, 2026Updated last month
- Differentiable Optimization-Based Modeling for Machine Learning☆350Oct 28, 2019Updated 6 years ago
- A library for differentiable nonlinear optimization☆2,046Jan 16, 2025Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,465Apr 4, 2025Updated last year
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,629Mar 25, 2022Updated 4 years ago
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆1,073Aug 27, 2024Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,573May 2, 2024Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,899Jul 10, 2026Updated last week
- Bayesian optimization in PyTorch☆3,573Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [NeurIPS'19] Deep Equilibrium Models☆805Jul 4, 2022Updated 4 years ago
- Constrained optimization toolkit for PyTorch☆712Jun 7, 2026Updated last month
- The differentiable OSQP solver layer for PyTorch☆67Dec 26, 2022Updated 3 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Optax is a gradient processing and optimization library for JAX.☆2,302Jul 15, 2026Updated last week
- Deep Declarative Networks☆252Jun 18, 2026Updated last month
- ☆242Sep 3, 2023Updated 2 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,728Dec 30, 2024Updated last year
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,555Jul 5, 2026Updated 2 weeks ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A Python toolbox for performing gradient-free optimization☆4,199Mar 16, 2026Updated 4 months ago
- Deep universal probabilistic programming with Python and PyTorch☆9,025Jul 10, 2026Updated last week
- POT : Python Optimal Transport☆2,826Jul 7, 2026Updated 2 weeks ago
- A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming☆681Jul 10, 2026Updated last week
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,132Apr 20, 2022Updated 4 years ago
- Splitting Conic Solver☆627Jun 28, 2026Updated 3 weeks ago
- Efficiently computes derivatives of NumPy code.☆7,513Updated this week
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,187Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,720Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated 11 months ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,031Updated this week
- ☆336Feb 8, 2023Updated 3 years ago
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,207Jul 9, 2026Updated 2 weeks ago
- Reinforcement Learning in PyTorch☆2,278Jan 4, 2021Updated 5 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,071Jun 21, 2026Updated last month
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago