bayesian-rnn

CNN_sentence

CNNs for sentence classification

tensorflow-isan-rnn

Input Switched Affine Networks: An RNN Architecture Designed for Interpretability. http://proceed...

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

act-rte-inference

narx-double-descent

Explore the double-descent phenomena in the context of system identification. Companion code to t...

sequence-to-sequence-from-scratch

Sequence to Sequence from Scratch Using Pytorch

bdropout

Implementation of Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Lea...

RecurrentNeuralNetwork

Recurrent Neural Network from scratch using Python and Numpy

Dracula

A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instea...

pytorch-deep-markov-model

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAA...

trainingRNNs

HCV

Information Constraints on Auto-Encoding Variational Bayes

Decomposable_Attn

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in Py...

spiking-bayesian-networks

Implementation of the paper Homeostatic plasticity in Bayesian spiking networks as Expectation Ma...