Recurrent Neural Network with External Memory in Keras
Sequence to Sequence Learning with Keras
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https:...
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
A TensorFlow implementation of the Differentiable Neural Computer.
Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebb...
Recurrent Neural Network from scratch using Python and Numpy
Implementation of Memformer, a Memory-augmented Transformer, in Pytorch
Framework for building complex recurrent neural networks with Keras
⏱️ char-rnn for time series data
Implementation of Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recog...
A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Tran...
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability. http://proceed...
code for "Residual Flows for Invertible Generative Modeling".
Deep Learning Architecture Genealogy Project