geoopt
by geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
AI summary
Manifold optimizer
Provides a framework for optimizing functions on Riemannian manifolds with PyTorch.
- stars
- 862
- forks
- 79
- watching
- 19
Similar projects
Found by comparing what the projects do, not just their names.
Manifold optimizer
A PyTorch extension for optimizing deep learning models on manifold constrained tensors
Optimization algorithm
An optimizer that automatically tunes momentum and learning rate using local quadratic approximation.
Optimization library
An efficient library for differentiable optimization built on top of PyTorch.
Optimization layer
A PyTorch module that adds differentiable optimization as a layer to neural networks
Bayesian optimizer
A Python package for Bayesian optimization using the GPFlow library and TensorFlow.
MobileNetV3 optimizer
An implementation of MobileNetV3 using PyTorch with search space optimization
GeoTIFF toolkit
A collection of tools and libraries for working with cloud-optimized GeoTIFF files in Python.
Optimization tool
A Matlab toolbox for optimizing functions on geometric spaces defined by constraints or regularization terms
parameter optimizer
Automates search for optimal parameters in machine learning algorithms.
QP optimizer
A solver for optimizing quadratic programs in deep learning and other fields.
Hyperopt tuner
Automates hyperparameter optimization and neural network architecture search using Hyperopt on a CNN model for the CIFAR-100 dataset
Differentiable optimizer
A PyTorch module that wraps the OSQP solver for differentiable optimization problems
Quantizer
A PyTorch quantization backend for models.
Optimization toolkit
An evolutionary optimization library that provides multiple algorithms and interfaces to solve complex optimization problems using genetic and other optimization techniques.
Topology optimizer
Optimization code for topology optimization problems using machine learning and deep learning techniques
