locuslab / qpthLinks
A fast and differentiable QP solver for PyTorch.
☆748Updated 11 months ago
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☆545Updated 5 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆339Updated 5 years ago
- Input Convex Neural Networks☆297Updated 6 years ago
- Differentiable convex optimization layers☆1,972Updated 3 weeks ago
- A differentiable LCP physics engine in PyTorch.☆305Updated 4 years ago
- A PyTorch implementation of L-BFGS.☆612Updated 2 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆407Updated last year
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆984Updated last year
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆310Updated last year
- Quadratic programming solvers in Python with a unified API☆685Updated 3 weeks ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆346Updated 3 years ago
- A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework☆117Updated 5 years ago
- A manifold optimization library for deep learning☆248Updated 4 years ago
- Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)☆319Updated 4 years ago
- Constrained optimization toolkit for PyTorch☆697Updated last month
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆850Updated 2 months ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆417Updated 2 years ago
- An implementation of the Augmented Random Search algorithm☆425Updated 3 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆584Updated 4 years ago
- hessian in pytorch☆187Updated 4 years ago
- Bayesian Reinforcement Learning in Tensorflow☆332Updated 4 years ago
- ☆294Updated 2 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆650Updated 4 years ago
- Safe Bayesian Optimization☆150Updated 2 years ago
- Evolution Strategies in PyTorch☆355Updated 7 years ago
- Splitting Conic Solver☆584Updated this week
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,004Updated 4 years ago