A fast and differentiable QP solver for PyTorch.
☆791Sep 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☆581Mar 26, 2020Updated 6 years ago
- Differentiable convex optimization layers☆2,094Updated this week
- The differentiable OSQP solver layer for PyTorch☆66Dec 26, 2022Updated 3 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆307Aug 4, 2024Updated last year
- ☆328Feb 8, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆1,059Aug 27, 2024Updated last year
- Differentiation through cone programs☆117Jan 26, 2026Updated 3 months ago
- Task-based end-to-end model learning in stochastic optimization☆221Nov 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.☆314Jan 8, 2021Updated 5 years ago
- A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control☆145Nov 18, 2025Updated 6 months ago
- PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.☆224Mar 29, 2017Updated 9 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,879May 1, 2026Updated 2 weeks ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆542Jul 25, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆355Dec 21, 2021Updated 4 years ago
- Input Convex Neural Networks☆315Mar 20, 2019Updated 7 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,431Apr 4, 2025Updated last year
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆432Nov 22, 2022Updated 3 years ago
- ☆239Sep 3, 2023Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,040Dec 17, 2025Updated 5 months ago
- 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
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Utilities and monitors for machine learning experiments, web client included.☆149Jun 13, 2017Updated 8 years ago
- [NeurIPS'19] Deep Equilibrium Models☆797Jul 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 last month
- Pytorch Implementation of TinyMPC☆63Jan 17, 2024Updated 2 years ago
- A GPU accelerated library for computing rigid body dynamics with analytical gradients☆122Apr 17, 2023Updated 3 years ago
- 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.
- Cone program refinement☆10Mar 6, 2020Updated 6 years ago
- Efficiently computes derivatives of NumPy code.☆7,492Updated this week
- Source-to-Source Debuggable Derivatives in Pure Python☆2,322Sep 29, 2022Updated 3 years ago
- A Newton ADMM based solver for Cone programming.☆39Jun 12, 2017Updated 8 years ago
- The Advanced Proximal Optimization Toolbox☆562May 11, 2026Updated last week
- An experimental technique for efficiently exploring neural architectures.☆492Aug 19, 2017Updated 8 years ago
- ☆351Apr 1, 2026Updated last month