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AmazingDD/README.md

About me

Hi! This is Yu Di from SMU. My research majors in modeling time series with machine learning, recommendation system and neural language processing. I strongly advocate open-source and reproducible research and always devote myself to building my work into valuable real-world applications.

My repositories aim to provide simple and easily understandable codes for those who want to hand on Recommender System area and Data Analytics quikly. Hope that some work could be helpful for your own research work and that would be my pleasure! please feel free to drop me an email or PM me via:

For more about myself, try to reach my CV

Languages and Tool

Python torch LaTeX R Tableau Mysql html5 javascriot php

Pinned

  1. daisyRec Public

    This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up s…

    Python 475 81

  2. serenRec Public

    A repository contains my final research on session-based recommendation and related code toolkit.

    Python 2 1

  3. MF-pytorch Public

    Matrix Factorization reimplementation with pytorch

    Python 17 4

  4. Notice there are no torch-related code about item2vec, I just want to provide a readable item2vec implementation for researchers

    Python 4 2

103 contributions in the last year

Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mon Wed Fri
Activity overview
Contributed to recsys-benchmark/DaisyRec-v2.0, AmazingDD/AmazingDD, AmazingDD/daisyRec and 10 other repositories

Contribution activity

December 2022

Created 1 commit in 1 repository
1 contribution in private repositories Dec 2

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