Pinned Repositories
arcle
A Gymnasium-based Environment of the Abstraction and Reasoning Corpus (ARC)
revisit
A repository of customer revisit prediction research.
MINI-ARC
Dual-Attentive-Tree-aware-Embedding
DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-anomaly-detection-1
A complete list of papers on anomaly detection.
Customs-Declaration-Datasets
Customs Import Declaration Datasets
Customs-Fraud-Detection
Simulation framework for customs fraud detection using import declarations.
Dual-Attentive-Tree-aware-Embedding
DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection
LocEmb
LocEmb: Location Embedding (Currently covering districts, roads, and businesses in Korea)
Seondong's Repositories
Seondong/Customs-Fraud-Detection
Simulation framework for customs fraud detection using import declarations.
Seondong/LocEmb
LocEmb: Location Embedding (Currently covering districts, roads, and businesses in Korea)
Seondong/Customs-Declaration-Datasets
Customs Import Declaration Datasets
Seondong/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
Seondong/awesome-anomaly-detection-1
A complete list of papers on anomaly detection.
Seondong/SurvRev-PAKDD2020
Seondong/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Seondong/Advanced_ML
Seondong/arc-visualizations.github.io
Seondong/AutoStreamlit
Seondong/awesome-active-learning
A list of active learning methods for deep learning.
Seondong/awesome-active-learning-1
Awesome Active Learning Paper List
Seondong/awesome-active-learning-2
A curated list of awesome Active Learning
Seondong/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
Seondong/awesome-time-series
Resources for working with time series and sequence data
Seondong/awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Seondong/bidir-synth
Seondong/CLT21
Seondong/dcai-lab
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽💻
Seondong/designing-ml-systems-summary
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.
Seondong/DualFair
Seondong/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
Seondong/LARC
Language-annotated Abstraction and Reasoning Corpus
Seondong/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Seondong/liusida.github.io
ARC
Seondong/MINI-ARC
Seondong/modelexicon
This AI Does Not Exist: generate realistic descriptions of made-up machine learning models.
Seondong/stanford-sysml-seminar.github.io
Website for Stanford SysML Seminar
Seondong/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
Seondong/streamlit_demo