An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.
APACHE-2.0 License
Implementation of MAXIM in TensorFlow.
Boltzmann Machines in TensorFlow with examples
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in...
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
TensorFlow and Deep Learning Tutorials
Training neural models with structured signals.
Interpretability Methods for tf.keras models with Tensorflow 2.x
An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Trans...
Create, train, and save Tensorflow Keras models all in Golang
A curated list of dedicated resources and applications
How to use TensorLayer
Accumulated Gradients for TensorFlow 2
Advanced Deep Learning with Keras, published by Packt
An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarc...