SungMinCho

SungMinCho

Geek Repo

Company:CMALAB, Seoul National University

Location:Seoul, Korea

Home Page:http://cmalab.snu.ac.kr/members

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SungMinCho's repositories

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align-transformers

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

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BERT-pytorch

Google AI 2018 BERT pytorch implementation

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BERT4Rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

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BOJ

Problem Solving at https://www.acmicpc.net/

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DeepRecSys

http://vlsiarch.eecs.harvard.edu/research/recommendation/

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dlrm

An implementation of a deep learning recommendation model (DLRM)

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EMNLP2019-NRMS

The source codes for the paper "Neural News Recommendation with Multi-Head Self-Attention".

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FBGEMM

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

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IMDB-Scraper

Scrapy project for scraping data from IMDB with Movie Dataset including 58,623 movies' data.

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nodejs-practice

책 "node.js 교과서" 를 활용한 nodejs 연습

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othello_world

Emergent world representations: Exploring a sequence model trained on a synthetic task

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PaperTree

Build a tree of research paper references & Display it

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PGM_2022_ADNI_PLL

term project for PGM 2022

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PracticingScala

Practicing Scala with the red book.

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PyProf

A GPU performance profiling tool for PyTorch models

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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recsim_ng

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

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RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

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RSPapers

Must-read papers on Recommender System.

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SNU_2018_UROP

2018-2 UROP at SNU

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SR-GNN

Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)

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tgn

TGN: Temporal Graph Networks

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