Jaeseung Lee's repositories
categorical_data_analysis
Korea Univ. / Categorical Data Analysis / STAT343 / 2019 Spring
reinforcement_learning
Korea Univ. Graduate School / Network Simulation / ECE645 / 2023 Fall
schoolvote
고려대학교 선거 로또
bayesian_statistics
Korea Univ. / Bayesian Statistics / STAT404 / 2022 Fall
data_mining
Korea Univ. / Data Mining / STAT402 / 2022 Fall
data_mining_imen
Korea Univ. / Data Mining / IMEN321 / 2022 Spring
deep_learning
Korea Univ. / Statistical Modeling for Deep Learning / STAT433 / 2022 Spring
multivariate_statistical_analysis
Korea Univ. / Multivariate Statistical Analysis / STAT401 / 2022 Spring
statistical_machine_learning
Korea Univ. / Statistical Machine Learning / STAT424 / 2021 Fall
awesome-graph-explainability-papers
Papers about explainability of GNNs
Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
codetree-TILs
TILs for codetree(https://www.codetree.ai)
data_structure_and_algorithm
Korea Univ. / Data Structure and Alogrithm / IMEN224 / 2022 Fall
Fast-F1
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
GNNPapers
Must-read papers on graph neural networks (GNN)
korea_univ_sugang_crawling
고려대학교 개설예정과목 크롤링
KUThesis
고려대학교 석·박사학위 논문 TeX 템플릿
management_information_systems
Korea Univ. / Management Information Systems / BUSS215 / 2022 Spring
operations_management
Korea Univ. / Operations Management / BUSS211 / 2022 Fall
pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.