SANGDONKIM's repositories
alibi-detect
Algorithms for outlier, adversarial and drift detection
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
AppliedPredictiveModeling
:exclamation: This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictive Modeling'. Homepage: http://appliedpredictivemodeling.com/
Causal-Inference-Study-for-Analyst
가짜연구소 인과추론팀 블로그입니다!
Causal-Inference-with-Python
Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.
causalML-teaching
This repository consolidates my teaching material for "Causal Machine Learning".
causal-inference-in-python-code
"실무로 통하는 인과추론 with 파이썬" (한빛미디어, 2024) 소스코드 저장소입니다.
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
causal-text-papers
Curated research at the intersection of causal inference and natural language processing.
eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
frouros
Frouros is a Python library for drift detection in Machine Learning problems.
nannyml
Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.
Open_data_R_with_Shiny
DO IT BOOK CODE
pykan
Kolmogorov Arnold Networks
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
rstudio-server-conda
Run Rstudio Server in a conda environment
THU-Concept-Drift-Datasets-v1.0
📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if there is a need.
timeseries-playbook
슬기로운 통계생활 timeseries 공략집