Material for the "ML for the Sciences" meeting at Princeton University
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Updated
Nov 15, 2019 - Jupyter Notebook
Material for the "ML for the Sciences" meeting at Princeton University
A curated list of amazingly awesome Complexity Science resources, courses and shiny things
🔬 Python Scripts for applications in Natural Sciences (Physics, Biology, Chemistry). Updating on a regular basis.
a library for analysing nano-indentation experiment data
FlatEarthers unite, organise and produce. Document your proofs and help make an archive that anyone can reference at any time. We want FEU in every country, thus all languages. Lets bridge the gap between those that know Earth's measured flat & those that simply believe what they've been taught.
A comprehensive guide to data analysis in the natural sciences using R. This book provides researchers, students, and professionals with practical techniques for analyzing natural sciences data. From basic data manipulation to advanced statistical modeling and visualization, it covers essential methods with real-world examples.
A curated list of awesome Abiogenesis resources. Please feel free to contribute!
TanStack Start web application for students, researchers and the community to learn about the biodiversity on Indio Mountains Research Station.
Zanistarast is a natural science framework. Science does not adapt to humans; humans must align with structure, validation, and reality. Directed toward the Newroza-Kawa Civilization.
자연의 신비 모험 | 초1 대상 3D 학습. 동물 소리 맞히기·식물 성장순서 조합 미션 Unity 교육 앱
A LaTeX class for typesetting natural science theses. Built upon scrreprt and pgfkeys.
Companion site for the Monas Mechanica Blog
Questioner — natural-science literature extract, quiz, and grade (Streamlit + multi-LLM)
Data Science for Engineering and Natural Sciences @ FH Kufstein Student conference
利用 Python 統計與處理 csv 檔並繪製 Excel 與圖表
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