geoopt
Manifold optimizer
Provides a framework for optimizing functions on Riemannian manifolds with PyTorch.
Riemannian Adaptive Optimization Methods with pytorch optim
851 stars
19 watching
79 forks
Language: Python
last commit: 7 months ago optimizationpytorchriemannian-geometryriemannian-manifoldriemannian-optimization
Related projects:
| Repository | Description | Stars |
|---|---|---|
 mctorch/mctorch | A PyTorch extension for optimizing deep learning models on manifold constrained tensors | 236 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
 metaopt/torchopt | An efficient library for differentiable optimization built on top of PyTorch. | 544 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 513 |
 gpflow/gpflowopt | A Python package for Bayesian optimization using the GPFlow library and TensorFlow. | 270 |
 leaderj1001/mobilenetv3-pytorch | An implementation of MobileNetV3 using PyTorch with search space optimization | 292 |
 saheelbreezo/cloud-optimised-geotiff | A collection of tools and libraries for working with cloud-optimized GeoTIFF files in Python. | 5 |
 nicolasboumal/manopt | A Matlab toolbox for optimizing functions on geometric spaces defined by constraints or regularization terms | 314 |
 hyperopt/hyperopt-sklearn | Automates search for optimal parameters in machine learning algorithms. | 1,588 |
| locuslab/qpth | A solver for optimizing quadratic programs in deep learning and other fields. | 685 |
 guillaume-chevalier/hyperopt-keras-cnn-cifar-100 | Automates hyperparameter optimization and neural network architecture search using Hyperopt on a CNN model for the CIFAR-100 dataset | 106 |
 osqp/osqpth | A PyTorch module that wraps the OSQP solver for differentiable optimization problems | 59 |
 huggingface/optimum-quanto | A PyTorch quantization backend for models. | 822 |
 maxhalford/eaopt | An evolutionary optimization library that provides multiple algorithms and interfaces to solve complex optimization problems using genetic and other optimization techniques. | 888 |
 deng-cy/deep_learning_topology_opt | A toolkit for using machine learning to optimize complex geometries in simulations | 107 |