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hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow

hiertcn

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

hred-attention-tensorflow

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

hred-tf

Hierarchical Recurrent Encoder-Decoder in TensorFlow

ir2qsuggestion

Implementation of A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion

iterm2-zmodem

fork from https://github.com/mmastrac/iterm2-zmodem

keras-extras

Extra batteries for Keras

kg4rec

Knowledge-aware recommendation papers.

kgcn

A tensorflow implementation of Knowledge Graph Convolutional Networks

leetcodetop

汇总各大互联网公司容易考察的高频leetcode题🔥

libsdae-autoencoder-tensorflow

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

lstm-autoencoder

TensorFlow LSTM-autoencoder implementation

lstm-char-cnn-tensorflow

in progress

ltc

Long-term Temporal Convolutions for Action Recognition, TPAMI 2018

machine-learning-notes

This is the notes of the way of machine learning study. You may find something useful in it.

models

Models and examples built with TensorFlow

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

multi-label-text-classification

About Muti-Label Text Classification Based on Neural Network.

mutitasklearning

ner-lstm-crf

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

nmt

TensorFlow Neural Machine Translation Tutorial

node2vec

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

paircnn-ranking

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

paperlist-for-recommender-systems

Recommender Systems Paperlist that I am interested in

parallelize-ml-inference

Sample code for parallelizing across multiple CPU/GPUs on a single machine to speed up deep learning inference

persia

High performance distributed framework for training deep learning recommendation models based on PyTorch.

practice-tensorflow

pytorch-biggraph

Generate embeddings from large-scale graph-structured data.

rare

This repository contains the code to the paper "RARE : A Recurrent Attentive Recommendation Engine for News Aggregators"