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 3 years agoconvolutional-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 |