molimomo Goto Github PK
Name: Mao-Lin Li
Type: User
Company: Arizona State University
Bio: PhD student in Computer Science. Main research area: machine learning / data mining.
Location: Tempe
Name: Mao-Lin Li
Type: User
Company: Arizona State University
Bio: PhD student in Computer Science. Main research area: machine learning / data mining.
Location: Tempe
Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
该仓库尝试整理推荐系统领域的一些经典算法模型
Causal discovery and causal inference tool.
LaTeX Template for Typesetting Arizona State University Dissertations and Theses
TensorFlow Implementation of Attentional Factorization Machine
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
An index of algorithms for learning causality with data
A data index for learning causality.
2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
A curated list of amazingly awesome PHP libraries, resources and shiny things.
This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Bayesian Poisson tensor factorization
Caffe: a fast open framework for deep learning.
SIGIR 2017 Candidate Selection Tutorial (http://sigir.org/sigir2017/program/tutorials/#candidate)
This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Causal Discovery with Cascade Nonlinear Additive Noise Models. IJCAI 2019."
CASTLE (Causal Structure Learning) regularization
Python translation (and extension) of the Tetrad java code.
Causal Graphical Models in Python
Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
Uplift modeling and causal inference with machine learning algorithms
A Python library that helps data scientists to infer causation rather than observing correlation.
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Causal Effect Inference with Deep Latent-Variable Models
CSE 573 Project - Hidden Community Detection
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.