jepsonwong Goto Github PK
Name: zhongpu
Type: User
Bio: A man on the road……
Location: Beijing, China
Name: zhongpu
Type: User
Bio: A man on the road……
Location: Beijing, China
Papers on Computational Advertising
Open-source implementation of Google Vizier for hyper parameters tuning
【浅梦学习笔记】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
算法题总结
算法比赛-转化率预估、购买预测
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
Benchmarks of approximate nearest neighbor libraries in Python
FAQ-based Question Answering System
A curated list of SGX code and resources.
Stony Brook University CFI library
Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
计算机视觉
Light weight configuration library for C++
数据集
Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.
Convolutional Neural Networks
Pytorch implementation of the paper "Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers".
PyTorch/Keras/TensorFlow 编程
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM)
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
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18个章节,近30万字。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
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
EMNLP 2018: Multi-Head Attention with Disagreement Regularization; NAACL 2019: Information Aggregation for Multi-Head Attention with Routing-by-Agreement
DSSM and Multi-View DSSM
emoji terminal output for Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.