hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch
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PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
PyTorch to Keras model convertor
Layers Outputs and Gradients in Keras. Made easy.
Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of r...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras,...
ASCII summary for simple sequential models in Keras
Keras Temporal Convolutional Network.
Header-only library for using Keras (TensorFlow) models in C++.
Implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 in TensorFlow 2, b...
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Deep learning codes and projects using Python
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...