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deep_learning-1

Basic Deep Learning

deepmcp

Deep Matching, Correlation and Prediction (DeepMCP) Model

deepwalk

DeepWalk - Deep Learning for Graphs

dien

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dropout-feature-ranking

dsin

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

dssm

dssm-1

DSSM and Multi-View DSSM

dstn

Deep Spatio-Temporal Neural Network (DSTN)

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

ebooks

books of it tech

emnlp2017-bilstm-cnn-crf

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

few-shot-nlg

Code and Data for paper "Few-Shot NLG with Pre-Trained Language Model" https://arxiv.org/abs/1904.09521

fignn

利用图神经网络进行CTR预估

fm_ftrl

Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition

forte

Forte is a flexible and powerful NLP pipeline FOR TExt.

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gat

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

gbdt

Gradient boosting decision trees.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-adversarial-bots

We compare the performance and human-likeness of conversational chatbots by generating conversation between two bots, and evaluating the response using Turing Tests

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gnn-algorithms

图神经网络相关算法详述及实现

googlenet-inception-tf

TensorFlow implementation of GoogLeNet and Inception for image classification.

graph-neural-networks

graphembedding-spark

graph embedding spark implementation, include deepWalk, Node2Vec etc

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

gym

A toolkit for developing and comparing reinforcement learning algorithms.