Stars
Implementation of TabTransformer, attention network for tabular data, in Pytorch
Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. （对工业界学术界的CTR推荐调研并实现25个算法模型，2023）
An easy-to-use framework for large scale recommendation algorithms.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
⚡ Hugo Blox: Markdown sites in minutes. Academic/resume/lab/portfolio for AI researchers & startups. Premium templates. Deploy to GitHub Pages now in 1-click 👇
Open-source platform to build and deploy AI agent workflows.
allRank is a framework for training learning-to-rank neural models based on PyTorch.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
A unified, comprehensive and efficient recommendation library
Always know what to expect from your data.
Multiplayer Board Game - Saboteur | Voyage-7 | https://chingu.io/ |
Causing deliberate network mayhem for better resilience
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
❗ uplift modeling in scikit-learn style in python 🐍
Uplift modeling and causal inference with machine learning algorithms
Generate bootstrapped confidence intervals for A/B testing in Python.
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
Create delightful software with Jupyter Notebooks
Bash, Zsh and fish completion support for git-flow.
Tensorflow implementation of DeepFM for CTR prediction.
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems