locuslab / qpthLinks
A fast and differentiable QP solver for PyTorch.
☆735Updated 10 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☆542Updated 5 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆338Updated 5 years ago
- Differentiable convex optimization layers☆1,958Updated last month
- Input Convex Neural Networks☆294Updated 6 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆404Updated last year
- A PyTorch implementation of L-BFGS.☆606Updated 2 years ago
- A differentiable LCP physics engine in PyTorch.☆302Updated 4 years ago
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆969Updated 10 months ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆345Updated 3 years ago
- A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework☆116Updated 5 years ago
- Quadratic programming solvers in Python with a unified API☆674Updated last week
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- Constrained optimization toolkit for PyTorch☆687Updated 3 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆309Updated 11 months ago
- Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)☆319Updated 4 years ago
- Python implementation of CMA-ES☆1,198Updated last month
- A manifold optimization library for deep learning☆246Updated 3 years ago
- Bayesian Reinforcement Learning in Tensorflow☆331Updated 4 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆417Updated 2 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- A python package of Zeroth-Order Optimization (ZOOpt)☆409Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆586Updated 4 years ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆838Updated last month
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆444Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models☆753Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Deep neural network kernel for Gaussian process☆208Updated 4 years ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆266Updated 8 years ago