AI-mag
Inductor optimizer
A toolbox that combines FEM and ANN to optimize power electronic inductor designs
AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network
87 stars
9 watching
27 forks
Language: MATLAB
last commit: over 1 year ago
Linked from 2 awesome lists
artificial-neural-networkscomsoldesignfinite-element-methodsinductorskerasmachine-learningmatlaboptimizationpower-electronicspythontensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
ethz-pes/mirroring_method_matlab | A MATLAB tool used to simulate and analyze magnetic field patterns and inductance properties of electrical components such as inductors and transformers. | 8 |
ethz-pes/multi_objective_optimization_matlab | A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. | 53 |
jmrichardson/tuneta | Automates optimization of technical indicators for machine learning models in finance | 421 |
lge-arc-advancedai/auptimizer | Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |
elektrikakar/3d_milp | An optimization tool for energy arbitrage with battery storage in electro-thermal systems. | 7 |
microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 468 |
otvam/magnetic_components_toolbox_matlab | A MATLAB toolbox for modeling and optimizing power magnetics components | 18 |
joeddav/devol | An evolutionary algorithm for designing neural networks in Keras | 951 |
deng-cy/deep_learning_topology_opt | Optimization code for topology optimization problems using machine learning and deep learning techniques | 107 |
intellabs/fastrag | A framework for efficient and optimized retrieval augmented generative pipelines using state-of-the-art LLMs and Information Retrieval. | 1,392 |
ml-energy/zeus | An open-source Python package and daemon that helps measure and optimize the energy consumption of deep learning workloads. | 224 |
locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
anstmichaels/emopt | A toolkit for simulating and optimizing electromagnetic structures | 101 |
mit-han-lab/data-efficient-gans | Improves GAN training efficiency by incorporating data augmentation | 1,286 |
rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |