hijuly Goto Github PK

aes_msl_mtl

aitm

TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper submitted to KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition.

async-lp-sgd

Asynchronous Adam (and more!)

autoint

Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

baidu-dogs-rank-4

百度西交第三届大数据比赛Baseline(全国第4名)

bert

TensorFlow code and pre-trained models for BERT

bilstm-attention-sentiment-classification

Train Bi-LSTM with Attention-mechanism on IMDB dataset (binary classification)

burstgraph

cikm2020_dmt

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

cleanlab

A machine learning package for finding label errors in datasets and learning with noisy labels.

cnn-rnn-text-cls

CNN-RNN中文文本分类，基于TensorFlow

cnn-text-classification

Convolutional Neural Network for Text Classification in Tensorflow

co-action-network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

deep-learning-sources-wed

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deep-short-text-classification

all kinds of text classification models and more with deep learning

deep_rec

存放推荐算法相关代码、文档、资料

deepconn-keras

Final Project for Deep Learning

deepconn-tf

This is our implementation of DeepCoNN

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningstudy

造轮子**。

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

distribute_mnist

TensorFlow分布式MNIST手写字体识别实例

easyrec

A framework for large scale recommendation algorithms.

efficient-gan-anomaly-detection

gcn_study

GCN 入门学习教程

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

han-text-cls-2016

Text classifier for Hierarchical Attention Networks for Document Classification

hinet

Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction

ijcai-18-alimama-rank-48

IJCAI-18 阿里妈妈搜索广告转化预测大赛