Taehun Kim's Projects
Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"
"한계를 넘어 상상에 도전하자!" 네이버 AI 해커톤 2018
Automated Machine Learning with scikit-learn
AutoGluon: AutoML Toolkit for Deep Learning
Provide an input CSV and a target field to predict, generate a model + code to run it.
A curated list of awesome Machine Learning frameworks, libraries and software.
a curated list of awesome resources to deploy, monitor, version and scale your machine learning (ML + DevOps = MLOps)
Read the paper and review the code
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Repository for benchmarking graph neural networks
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Deep learning course CE7454, 2020
Distributed Task Queue (development branch)
Reverse engineered ChatGPT API
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
Hortonworks tutorials
Library for exploring and validating machine learning data
Deep Learning Bookmarks
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A collection of various deep learning architectures, models, and tips
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Materials for DGL Instructor-led training at GTC 2019
[ICDMW 2020] Code and dataset for "DGTN: Dual-channel Graph Transition Network for Session-based Recommendation"
Codebase for DIVE backend (server, worker, and ORM)