KerasGA
Keras Trainer
Trains Keras models using the Genetic Algorithm
Training Keras Models by the Genetic Algorithm using PyGAD
36 stars
5 watching
9 forks
Language: Jupyter Notebook
last commit: over 2 years ago convolutional-neural-networksdeep-learninggenetic-algorithmkeraskeras-tensorflowmachine-learningneural-networknumpypygadpythonpython3
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Trains artificial neural networks using the genetic algorithm | 241 |
| | Trains PyTorch models using a genetic algorithm | 96 |
| | A Python library implementing a genetic algorithm for optimizing machine learning algorithms and neural networks. | 1,905 |
| | Trains CNNs using a genetic algorithm for classification problems where one class per sample is allowed. | 22 |
| | A high-level deep learning framework for building and training neural networks on multiple backend engines | 62,196 |
| | An evolutionary algorithm for designing neural networks in Keras | 951 |
| | A unified interface to various deep learning architectures | 818 |
| | Enables real-time training and evaluation of machine learning models with remote dashboard visualization. | 487 |
| | Enables distributed deep learning with Keras and Spark for scalable model training | 1,574 |
| | An LLM-based tool to assist deep learning model development | 28 |
| | An open-source tool to extract and visualize layer outputs and gradients in Keras models | 1,050 |
| | Converts PyTorch models to Keras models | 859 |
| | An implementation of a deep learning model for image segmentation using Keras and dilated convolutions | 301 |
| | An implementation of artificial neural networks using NumPy | 98 |
| | Keras implementation of Fully Convolutional Networks for Semantic Segmentation | 650 |