locuslab / qpthLinks
A fast and differentiable QP solver for PyTorch.
☆750Updated last year
Alternatives and similar repositories for qpth
Users that are interested in qpth are comparing it to the libraries listed below
Sorting:
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆548Updated 5 years ago
- Input Convex Neural Networks☆297Updated 6 years ago
- Differentiable convex optimization layers☆1,977Updated last month
- Differentiable Optimization-Based Modeling for Machine Learning☆340Updated 5 years ago
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆985Updated last year
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆408Updated last year
- A PyTorch implementation of L-BFGS.☆614Updated 2 years ago
- A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework☆117Updated 5 years ago
- A differentiable LCP physics engine in PyTorch.☆305Updated 4 years ago
- Quadratic programming solvers in Python with a unified API☆689Updated last month
- Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)☆319Updated 4 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆347Updated 3 years ago
- A manifold optimization library for deep learning☆249Updated 4 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆310Updated last year
- Constrained optimization toolkit for PyTorch☆698Updated last month
- EE227C (Spring 2018) Course page☆225Updated 4 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆267Updated 8 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- hessian in pytorch☆187Updated 4 years ago
- ☆296Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Bayesian Reinforcement Learning in Tensorflow☆333Updated 4 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 5 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆566Updated 6 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆444Updated 7 years ago
- A python package of Zeroth-Order Optimization (ZOOpt)☆412Updated 3 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆418Updated 2 years ago
- Quadratic Programming Solver☆212Updated 10 months ago
- [NeurIPS'19] Deep Equilibrium Models☆764Updated 3 years ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆854Updated 3 months ago