qpth
QP optimizer
A solver for optimizing quadratic programs in deep learning and other fields.
A fast and differentiable QP solver for PyTorch.
691 stars
29 watching
104 forks
Language: Python
last commit: about 2 years agoLinked from 2 awesome lists
deep-learningmachine-learningoptimizationpytorchquadratic-programming
bharathgs/awesome-pytorch-list
endymecy/awesome-deeplearning-resourcesRelated projects:
| Repository | Description | Stars |
|---|---|---|
 osqp/osqpth | A PyTorch module that wraps the OSQP solver for differentiable optimization problems | 59 |
| locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
 qpsolvers/qpsolvers | A unified Python API for solving convex quadratic programs with various optimization solvers. | 610 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
 giaf/hpipm | High-performance solver for dense quadratic programs and optimal control problems | 556 |
 ikostrikov/pytorch-trpo | A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks | 435 |
 q-optimize/c3 | Toolset for optimizing and calibrating physical systems using machine learning and quantum computing | 70 |
 atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
| osqp/osqp-matlab | A Matlab interface for solving quadratic programming problems using the OSQP solver | 46 |
 huntermcgushion/hyperparameter_hunter | Automates hyperparameter optimization and result saving across machine learning algorithms | 706 |
 metaopt/torchopt | An efficient library for differentiable optimization built on top of PyTorch. | 554 |
 google/jaxopt | An open-source project providing hardware accelerated, batchable and differentiable optimizers in JAX for deep learning. | 941 |
 qucontrol/krotov | Provides a Python implementation of Krotov's method for optimizing quantum control | 71 |
 mctorch/mctorch | A PyTorch extension for optimizing deep learning models on manifold constrained tensors | 239 |
 project-platypus/platypus | A Python library for multiobjective optimization algorithms and analysis tools. | 579 |