hhh920406 Goto Github PK

2018-tencent-ad-competition-baseline

2018腾讯广告算法大赛baseline 线上0.73

a3ncf

abcnn

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

ad-papers

Papers on Computational Advertising

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

advertising-algorithm-competition

2018 腾讯广告算法大赛/IJCAI 阿里妈妈搜索广告转化预测竞赛

alitianchi

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

attention

some attention implements

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

autograd

Efficiently computes derivatives of numpy code.

awaresome-neural-models-for-semantic-match

A curated list of papers dedicated to neural text (semantic) matching.

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-sentence-embedding

A curated list of pretrained sentence(and word) embedding models

batch-learn

bayareadlschool

Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016

bayesboost

Bayesian Optimization using xgboost and sklearn API

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bdc2017

basic version

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

big-data-resources

大数据/数据挖掘/推荐系统/机器学习相关资源

bytecup_solution

cape

In this repository, We're going to implement the paper, which is "Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation", (B. Chang et al, IJCAI-ECAI'18), using a PyTorch library.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.