Insight Miner

[현상] - 특정 패키지 설치후 해당 패키지 명령어로 실행되지 않을 때 ex) prefect라는 패키지 설치 후 $prefect version 명령어 쳤는데, command not found 오류 발생 - 설치히 아래 워닝이 있었음 WARNING: The script coolname is installed in '/home/user/.local/bin' which is not on PATH. [해결] - bashrc에 Path 추가 vi ~/.bashrc export PATH="/home/user/.local/bin:$PATH" source ~/.bashrc

https://arxiv.org/pdf/2208.08900.pdf https://github.com/vaishnavmohit/Conviformer GitHub - vaishnavmohit/Conviformer: Conviformer: Convolutionally guided vision transformer Conviformer: Convolutionally guided vision transformer - GitHub - vaishnavmohit/Conviformer: Conviformer: Convolutionally guided vision transformer github.com ABSTRACT Vision transformers are nowadays the de-facto choice for ..

Article:https://lnkd.in/gYEq2haj Bayesian Variable Selection in a Million Dimensions Bayesian variable selection is a powerful tool for data analysis, as it offers a principled method for variable selection that accounts for prior information and uncertainty. However, wider adoption of Bayesian variable selection has been hampered by compu arxiv.org Code Repo:https://lnkd.in/gZGipa2v GitHub - Ba..

https://arxiv.org/pdf/2208.09325.pdf

https://www.microsoft.com/en-us/research/group/causal-inference/publications/ Causality and Machine Learning - Microsoft Research We research causal inference methods and their applications in computing, building on breakthroughs in machine learning, statistics, and social sciences. www.microsoft.com

프로덕트 데이터 분석 커뮤니티 PAP에 오신 것을 환영합니다 프로덕트 데이터 분석가/ 사이언티스트는 약 6년전 해외에서 등장했고, 최근에 국내 스타트업에도 다수 등장하고 있습니다. 많은 데이터 직군의 역할이 그러하듯이 우리의 책임도 매일 변화하고 있기에, 그 과정에서 함께 고민을 나누고 의지하는 공간이 되었으면 합니다. https://playinpap.github.io/ Home 프로덕트 데이터 분석 커뮤니티, PAP의 테크 블로그에 오신 것을 환영합니다! playinpap.github.io

인과추론 라이브러리 https://py-why.github.io/dowhy/v0.8/ DoWhy | An end-to-end library for causal inference — DoWhy documentation DoWhy | An end-to-end library for causal inference Much like machine learning libraries have done for prediction, “DoWhy” is a Python library that aims to spark causal thinking and analysis. DoWhy provides a principled four-step interface for causal in py-why.github.io https:/..

https://arxiv.org/abs/2103.11251 Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Interpretability in machine learning (ML) is crucial for high stakes decisions and troubleshooting. In this work, we provide fundamental principles for interpretable ML, and dispel common misunderstandings that dilute the importance of this crucial topic. arxiv.org

Paper: https://arxiv.org/abs/2208.05688 Semi-supervised Vision Transformers at Scale We study semi-supervised learning (SSL) for vision transformers (ViT), an under-explored topic despite the wide adoption of the ViT architectures to different tasks. To tackle this problem, we propose a new SSL pipeline, consisting of first un/self-supervi arxiv.org Abstract: "We study semi-supervised learning (..

[소개] The core objective of ocrpy is to let users perform OCR, archive, index and search any document with ease, providing an intuitive interface and a powerful Pipeline API to solve common OCR-based tasks. ocrpy achieves this by wrapping around the most popular OCR engines like Tesseract OCR, Aws Textract, Google Cloud Vision and Azure Computer Vision. It unifies the multitude of interfaces prov..