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sequence-based-recommendations

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

spotlight

Deep recommender models using PyTorch.

sr-gnn

Source code and datasets for paper "Session-based Recommendation with Graph Neural Networks"

stanford-probabilistic-graphical-models-coursera

tcop-pytorch

tunz's CUDA pytorch operator (MaskedSoftmax)

temperature_scaling

A simple way to calibrate your neural network.

textcnn_public

textvae

Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."

tf_ner

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

transformer-xl

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

twitter-past-crawler

A crawler that can accumulate past tweets without the twitter API

vae_cf

Variational autoencoders for collaborative filtering

vall-e

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

vall-e-1

An unofficial PyTorch implementation of the audio LM VALL-E

vqa2.0-recent-approachs-2018.pytorch

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

wids_2018

zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow