locuslab / optnet
OptNet: Differentiable Optimization as a Layer in Neural Networks
☆527Updated 5 years ago
Alternatives and similar repositories for optnet:
Users that are interested in optnet are comparing it to the libraries listed below
- A fast and differentiable QP solver for PyTorch.☆706Updated 7 months ago
- Input Convex Neural Networks☆289Updated 6 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆334Updated 5 years ago
- Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)☆320Updated 4 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆398Updated last year
- Differentiable convex optimization layers☆1,902Updated 4 months ago
- PyTorch Implementation of REINFORCE for both discrete & continuous control☆265Updated 7 years ago
- Task-based end-to-end model learning in stochastic optimization☆203Updated 4 years ago
- PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.☆228Updated 8 years ago
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆932Updated 7 months ago
- A python package of Zeroth-Order Optimization (ZOOpt)☆407Updated 2 years ago
- A differentiable LCP physics engine in PyTorch.☆299Updated 4 years ago
- A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework☆113Updated 4 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆306Updated 8 months ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆845Updated 2 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆421Updated last year
- Constrained Policy Optimization☆317Updated 7 years ago
- Value Iteration Networks☆289Updated 7 years ago
- A PyTorch implementation of L-BFGS.☆600Updated 2 years ago
- Deep Reinforcement Learning with pytorch & visdom☆797Updated 4 years ago
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- ☆268Updated 2 years ago
- Evolution Strategies in PyTorch☆352Updated 7 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- A CVXPY extension for convex-concave programming☆127Updated last year
- Bayesian Reinforcement Learning in Tensorflow☆320Updated 4 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆344Updated 3 years ago
- ☆390Updated 5 years ago
- DC3: A Learning Method for Optimization with Hard Constraints☆155Updated 3 years ago