deep_learning_topology_opt
Topology optimizer
Optimization code for topology optimization problems using machine learning and deep learning techniques
Code for paper "Self-Directed Online Machine Learning for Topology Optimization"
107 stars
7 watching
24 forks
Language: MATLAB
last commit: over 2 years agoLinked from 1 awesome list
bat-algorithmbinary-bat-algorithmcomsoldeep-learningmatlaboptimizationpythonpytorchsimmulated-annealingtopology-optimization
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 swanlab/swan | A Matlab toolbox for topology optimization of 2D and 3D structures using density or level-set methods | 147 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
 gabrieljie/concurrent-topology-optimization-in-matlab | Provides Matlab code for concurrent topology optimization of composite structures at multiple scales | 45 |
 mctorch/mctorch | A PyTorch extension for optimizing deep learning models on manifold constrained tensors | 239 |
 snopt/snopt-matlab | Provides a Matlab interface to SNOPT for nonlinear optimization | 56 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 468 |
 sahith02/machine-learning-algorithms | A comprehensive resource for machine learning and deep learning algorithms | 295 |
 google/jaxopt | An open-source project providing hardware accelerated, batchable and differentiable optimizers in JAX for deep learning. | 941 |
 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
 bergel/neat | An implementation of the Neuroevolution through Augmenting Topologies (NEAT) algorithm for evolutionary optimization of neural networks in Pharo. | 16 |
 ldslpm/tooptix | Tools and libraries for multiphysical topology optimization using Python | 3 |
 phdp/mlbop | The codebase provides MATLAB implementations of machine learning concepts from S. Theodoridis' book | 66 |
 cn-upb/deepcomp | A reinforcement learning-based system for optimizing multi-cell selection in wireless networks | 58 |
 clarkzinzow/nonlinear-optimization-algorithms | MATLAB implementations of various nonlinear programming algorithms for optimization and minimization tasks | 166 |
 jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |