A fast and differentiable QP solver for PyTorch.
☆792Sep 3, 2024Updated last year
Alternatives and similar repositories for qpth
Users that are interested in qpth are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆582Mar 26, 2020Updated 6 years ago
- Differentiable convex optimization layers☆2,105May 19, 2026Updated 3 weeks ago
- The differentiable OSQP solver layer for PyTorch☆67Dec 26, 2022Updated 3 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆307Aug 4, 2024Updated last year
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆1,066Aug 27, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆333Feb 8, 2023Updated 3 years ago
- Differentiation through cone programs☆118May 20, 2026Updated 3 weeks ago
- Task-based end-to-end model learning in stochastic optimization☆223Nov 29, 2020Updated 5 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆350Oct 28, 2019Updated 6 years ago
- A differentiable LCP physics engine in PyTorch.☆315Jan 8, 2021Updated 5 years ago
- A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control☆147Nov 18, 2025Updated 6 months ago
- PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.☆223Mar 29, 2017Updated 9 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,888May 29, 2026Updated last week
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- 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.
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆356Dec 21, 2021Updated 4 years ago
- Input Convex Neural Networks☆317Mar 20, 2019Updated 7 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,438Apr 4, 2025Updated last year
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆433Nov 22, 2022Updated 3 years ago
- ☆240Sep 3, 2023Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,040Updated this week
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 7 years ago
- t-SNE experiments in pytorch☆479Nov 5, 2022Updated 3 years ago
- A language-agnostic interface to TensorBoard☆781Nov 9, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Utilities and monitors for machine learning experiments, web client included.☆149Jun 13, 2017Updated 8 years ago
- [NeurIPS'19] Deep Equilibrium Models☆804Jul 4, 2022Updated 3 years ago
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆85Nov 14, 2022Updated 3 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆485Feb 12, 2022Updated 4 years ago
- A GPU Accelerated Quadratic Programming Solver for Model-Predictive Control☆60Apr 7, 2025Updated last year
- Fast Scattering Transform with CuPy/PyTorch☆295Feb 22, 2020Updated 6 years ago
- ☆27Mar 25, 2026Updated 2 months ago
- Pytorch Implementation of TinyMPC☆63Jan 17, 2024Updated 2 years ago
- A GPU accelerated library for computing rigid body dynamics with analytical gradients☆123Apr 17, 2023Updated 3 years ago
- 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.
- Cone program refinement☆10Mar 6, 2020Updated 6 years ago
- Efficiently computes derivatives of NumPy code.☆7,495Jun 2, 2026Updated last week
- Source-to-Source Debuggable Derivatives in Pure Python☆2,323Sep 29, 2022Updated 3 years ago
- A Newton ADMM based solver for Cone programming.☆39Jun 12, 2017Updated 8 years ago
- An experimental technique for efficiently exploring neural architectures.☆491Aug 19, 2017Updated 8 years ago
- The Advanced Proximal Optimization Toolbox☆570May 11, 2026Updated 3 weeks ago
- ☆352Apr 1, 2026Updated 2 months ago