Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
Statistics for this project are still being loaded, please check back later.
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
A TensorFlow-compatible Python library that provides models and layers to implement custom Transf...
Keras Implementation of Mode Normalization (Lucas Deecke, Iain Murray, Hakan Bilen, 2018)
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
Deep learning codes and projects using Python
ASCII summary for simple sequential models in Keras
Implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 in TensorFlow 2, b...
Efficientnet V2 adapted to Keras functional API.
hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorF...
TensorFlow/Keras experiments on computer vision and natural language processing
Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and i...
Learn how modern, modular Neural Networks work by implementing a PyTorch/Keras-like framework.
Optimize layers structure of Keras model to reduce computation time
Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of r...
PyTorch to Keras model convertor