jsshin2019

jsshin2019's Stars

• CausalInferenceLab/CausalInferenceLab.github.io

  가짜연구소 인과추론팀 블로그입니다!

  Language:HTML3412

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k658

• CausalInferenceLab/Causal-Inference-Materials

  인과추론 스터디 or 컨퍼런스에 사용된 자료 모음입니다.

  81

• vhrehfdl/bentoml_tutorial

  Language:Python112

• vhrehfdl/MLflow_tutorial

  Language:Python3611

• sebp/scikit-survival

  Survival analysis built on top of scikit-learn

  Language:Python1.1k216

• jonghyunlee1993/2022-Fall_TimeSeriesAnalysis

  Language:Jupyter Notebook1

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.2k557

• maks-sh/scikit-uplift

  :exclamation: uplift modeling in scikit-learn style in python :snake:

  Language:Python73598

• altdeep/causalML

  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

  Language:Jupyter Notebook735197

• CausalInferenceLab/Causal-Inference-with-Python

  Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

  Language:Jupyter Notebook42478

• teamgrgr/Where-to-use-GNNs

  GNN 관련 정보 아카이브

  17

• jonghyunlee1993/DLM_DTI

  Language:Jupyter Notebook2

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.8k483

• long8v/PTIR

  Paper Today I Read

  19

• boost-devs/ai-tech-interview

  👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

  1.9k454