Deepevolution is a PIP package for evolving tensorflow keras models with a genetic algorithm towards fitting a fitness function.
Chess reinforcement learning by AlphaGo Zero methods.
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of r...
An evolutionary algorithm implementation for Keras
🐤The next evolution of evolution.
Header-only library for using Keras (TensorFlow) models in C++.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...
Keras reimplementation of EfficientNet Lite.
Fine-tuning Stable Diffusion using Keras.
Optimize layers structure of Keras model to reduce computation time
A compatible-with-keras wrapper for training PyTorch models✨
Research Pipeline for image masking/segmentation in Keras
Variable Length Genetic Algorithm for hyperparameter optimization of a CNN
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...