LuckyDL21's Projects
Computer_Science_Pattern_Recognition_Class_Homework
CS_Computer_Vision_homework
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Inflearn Python Algorithm
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
An index of algorithms for few-shot learning/meta-learning on graphs
Paper Lists for Graph Neural Networks
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Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Contrastive Learning for Cold-start Recommendation
The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
Recommendation on cross domain using two separate datasets.
This is our implementation for the paper: Pan Li and Alexander Tuzhilin. "DDTCDR: Deep Dual Transfer Cross Domain Recommendation." Proceedings of the 13th International Conference on Web Search and Data Mining. 2020
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is the official code of GCGAN.
links to conference publications in graph-based deep learning
Heterogeneous Information Network Datasets for Recommendation and Network Embedding
:ramen: Minimalist Jekyll Template, dark and light themes
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
machine learning lab presentations
Config files for my GitHub profile.
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)
This is a library built upon RecBole for cross-domain recommendation algorithms
The source code and dataset for the RecGURU paper (WSDM 2022)