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tiantiansong's Projects

algonotes icon algonotes

公众号【浅梦的学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

autodl icon autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

bigdataplatform icon bigdataplatform

BigDataPlatform:基于大数据、数据平台、微服务、机器学习、商城、自动化运维、DevOps、容器部署平台、数据平台采集、数据平台存储、数据平台计算、数据平台开发、数据平台应用搭建的大数据解决方案。

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepctr-torch icon deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepmatch icon deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

deepo icon deepo

Set up deep learning environment in a single command line.

ernie icon ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

gbdt_lr icon gbdt_lr

广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践(附数据 + 代码)

graphneuralnetwork icon graphneuralnetwork

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

jina icon jina

Jina is the cloud-native neural search framework powered by state-of-the-art AI and deep learning

ml-visuals icon ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

my-mac-os icon my-mac-os

List of applications and tools that make my macOS experience even more amazing

oi_sharing icon oi_sharing

🧠算法竞赛、数据结构的课件、论文、书籍、OJ网站、习题大全,资料分享。Algorithm ALL IN ONE!学习面试必备!持续更新👀

pagerank icon pagerank

A Python implementation of Larry's famous PageRank algorithm.

plmpapers icon plmpapers

Must-read Papers on pre-trained language models.

recommender_systems_abc icon recommender_systems_abc

基于netflix prize开源数据集,从零开始构建热门推荐、相似推荐、item-based协同过滤算法,并离线评估算法的效果precision/recall,将推荐结果存于Redis,并通过flask构建推荐web服务。

rspapers icon rspapers

Must-read papers on Recommender System.

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