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Implements of Awesome RecSystem Models with PyTorch/TF2.0
Mapping a variable-length sentence to a fixed-length vector using BERT model
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216
pytorch实现猫狗分类
Code for Paper《Counterfactual Review-based Recommendation》
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
利用pytorch实现kaggle手写数字识别
PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
a demo with MovieLens dataset
利用pytorch框架实现因子分解机FM算法
A PyTorch implementation of a Factorization Machine module in cython.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目
Pandas中文教程
kaggle hourseprices 练习pytorch
李宏毅2021春季机器学习课程课件及作业
《统计学习方法》的代码实现
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.
NLP-NL2SQL 语义解析数据集、解决方案、paper整合打包
huita & nrpa
Factorization machines in python
Factorization Machine models in PyTorch
Classic papers and resources on recommendation
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
Must-read papers on Recommender System.
Implementations of models and metrics for semantic text similarity. Includes fine-tuning and prediction of models
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.