luckydl21 Goto Github PK

2021_01_pattern_recognition

Computer_Science_Pattern_Recognition_Class_Homework

2021_02_computer_vision_hw

CS_Computer_Vision_homework

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awesome-few-shot-gnn

An index of algorithms for few-shot learning/meta-learning on graphs

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

basic-algo-lecture

바킹독의 실전 알고리즘 강의 자료

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

clcrec

Contrastive Learning for Cold-start Recommendation

code-for-mamo

The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

cross-domain-recommender-systems

Recommendation on cross domain using two separate datasets.

ddtcdr

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

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dqn

gar

This is the official code of GCGAN.

gnf

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

hin-datasets-for-recommendation-and-network-embedding

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

indigo

:ramen: Minimalist Jekyll Template, dark and light themes

interview_question_for_beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

lab_seminar_recommendation_systems

machine learning lab presentations

luckydl21

Config files for my GitHub profile.

luckydl21.github.io

metahin

Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

metatl

Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)

opennmt

practice

recbole-cdr

This is a library built upon RecBole for cross-domain recommendation algorithms

recguru

The source code and dataset for the RecGURU paper (WSDM 2022)

recommendations

code for the recsys