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char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

clustering_riedel_dataset

Processing of Riedel Dataset for python, and subsequent visualization using tSNE and hierarchial clustering. Part of Summer 2016 project.

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

codinginterviews

剑指Offer——名企面试官精讲典型编程题

copynet

incorporating copying mechanism in sequence-to-sequence learning

copynet-1

CopyNet Implementation with Tensorflow and nmt

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

dnn-learn

facenet

Face recognition using Tensorflow

facerecognization

学习人脸识别算法

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_gan

graphsage

graphsagekb

heer

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

kaggle-toxic-comment

kaggle_toxic_comment_classification

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-language-modeling

:book: Some language modeling tools for Keras

lanczosnetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

machinelearning

机器学习算法学习

models

Models and examples built with TensorFlow

molgan

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

nlp

nlp utils

nlpcc2018-task2

nmt

TensorFlow Neural Machine Translation Tutorial

nre

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)