Deepevolution is a PIP package for evolving tensorflow keras models with a genetic algorithm towards fitting a fitness function.
Keras reimplementation of EfficientNet Lite.
Simplify the training and tuning of Tensorflow models
Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
Deep learning library featuring a higher-level API for TensorFlow.
Fine-tuning Stable Diffusion using Keras.
YoloV3 Implemented in Tensorflow 2.0
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
Chess reinforcement learning by AlphaGo Zero methods.
Evolutionary algorithm for neural network structure
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
NeuroEvolution of Augmenting Topologies (NEAT) implementation with Tensorflow.js (still WIP)
Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
Bare bone examples of machine learning in TensorFlow
Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D