게임 데이터를 통해 인과관계를 추론하는 능력을 향상시킬 수 있는 책입니다.
☆15May 21, 2023Updated 3 years ago
Alternatives and similar repositories for Gamifying-Causal-Inference-with-Game
Users that are interested in Gamifying-Causal-Inference-with-Game are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 실험 플랫폼에 대한 자료를 정리한 저장소입니다.☆41Jun 30, 2024Updated 2 years ago
- 가짜연구소 <인과추론과 실무> 프로젝트☆42Sep 7, 2024Updated last year
- Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.☆480Jan 15, 2024Updated 2 years ago
- 가짜연구소 인과추론팀 블로그입니다!☆36Mar 19, 2024Updated 2 years ago
- 가짜연구소 인과추론팀 특강 및 발표자료 모음입니다.☆46Oct 25, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- "실무로 통하는 인과추론 with 파이썬" 스터디를 하고 내용을 정리한 깃허브입니다.☆14Sep 20, 2024Updated last year
- 추천시스템 주요 논문 리뷰 및 구현☆32Jan 6, 2024Updated 2 years ago
- "실무로 통하는 인과추론 with 파이썬" (한빛미디어, 2024) 소스코드 저장소입니다.☆57Mar 3, 2024Updated 2 years ago
- <온라인 통제 실험 연구자로 거듭나기> 프로젝트 스터디 자료 모음☆54Mar 1, 2025Updated last year
- From Fixed to Flexible Study Material (Github Pages)☆21Aug 26, 2025Updated last year
- PseudoDiffusers: paper/code review and experimental findings related to computer vision generation and diffusion-based models☆44Jul 11, 2025Updated last year
- Hierarchical Hidden Markov Model☆12Dec 11, 2022Updated 3 years ago
- ☆12Jan 17, 2022Updated 4 years ago
- 개발자글쓰기 커뮤니티 글또에서 "참여자 활동 목표 개선"을 위해 데이터를 수집하고 데이터반상회,데이터야놀자에서 발표를 진행했습니다.☆19Feb 2, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆25Oct 20, 2022Updated 3 years ago
- Jenkins python plugin☆15Aug 9, 2024Updated 2 years ago
- A double range slider for svelte☆16Aug 30, 2024Updated 2 years ago
- A high-performance R package for comprehensive CGM data analysis with optimized C++ implementations☆24Aug 20, 2026Updated last week
- Open source implementation of sDTM - supervised Deep Topic Model☆15Mar 22, 2022Updated 4 years ago
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…☆11Jun 3, 2022Updated 4 years ago
- Implicit Distributional Actor Critic☆11Dec 8, 2021Updated 4 years ago
- Using OpenVINO to speed up MeloTTS inference☆15Nov 1, 2024Updated last year
- [Tobigs] CS224N lecture & assignment solution☆15Jan 23, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official code release for Deep Extreme Mixture Model by Wilson, McDonald, Galib, Tan, and Luo.☆10Feb 11, 2022Updated 4 years ago
- ☆12Jun 17, 2024Updated 2 years ago
- C++ implementation of Peter Shirley's "Ray Tracing: The Rest of Your Life"☆16May 12, 2020Updated 6 years ago
- # Best Track Data (HURDAT2) Atlantic hurricane database (HURDAT2) 1851-2018 (5.9MB download) This dataset was provided on 10 May 2019 to…☆10Nov 5, 2019Updated 6 years ago
- Look Ahead Factor models for quantitative investing using deep learning and uncertainty quantification☆10Jun 25, 2020Updated 6 years ago
- "CS224n 2021 winter" study - KoreaUniv. DSBA Lab☆15Apr 18, 2022Updated 4 years ago
- Code for the paper: Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics☆16Aug 9, 2024Updated 2 years ago
- TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.☆17Sep 18, 2022Updated 3 years ago
- [ECML-PKDD 2025] Official Implementation of "Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble".☆14Jun 20, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆141Jul 25, 2026Updated last month
- ☆13Jan 12, 2022Updated 4 years ago
- An R package for extreme quantile regression with random forests☆12Dec 2, 2024Updated last year
- ☆18Feb 16, 2024Updated 2 years ago
- ☆15Feb 24, 2025Updated last year
- repository for accepted paper in BigData 2022 conference☆12Jul 17, 2023Updated 3 years ago
- Multiple-Output Quantile Regression☆16Oct 9, 2021Updated 4 years ago