cherishlrx Goto Github PK
Name: Ruxia
Type: User
Bio: cross-domain recommender systems
Name: Ruxia
Type: User
Bio: cross-domain recommender systems
It is deep recommendation model with attribute-level co-attention
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Autorec (Autoencoders Meet Collaborative Filtering)
A collection of AWESOME things about domian adaptation
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
Cheat Sheets
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
An implementation of a deep learning recommendation model (DLRM)
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Using Hybrid Fuzzy logic and Genetic Algorithms to build a faster and accurate recommender system.
State-of-the-art Papers on GAN-based Recommender System (2017~2019)
Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
recommender system library for the CLR (.NET)
Next RecSys Library
Recommender Systems Paperlist that I am interested in
The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.org/10.1145/3357384.3358166
PRML algorithms implemented in Python
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Factorization Machine models in PyTorch
pytorch 包教不包会
The Noise Contrastive Estimation for softmax output written in Pytorch
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.