求解偏微分方程的全新基准PDEBENCH，已上线arxiv，感兴趣的请看： PDEBENCH: An Extensive Benchmark for Scientific Machine Learning Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert 链接： https://arxiv.org/abs/2210.07182v2

求解偏微分方程的全新基准PDEBENCH，已上线arxiv，感兴趣的请看： PDEBENCH: An Extensive Benchmark for Scientific Machine Learning Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert 链接： https://arxiv.org/abs/2210.07182v2

1. ggprism 2. circlize 3. loon.ggplot 4. ggdist 5. simplevis: Simple 'ggplot2' Visualisation with Less Brainpower and Typing 6. plotly: Create Interactive Web Graphics via 'plotly.js' 7. BioVenn: Create Area-Proportional Venn Diagrams from Biological Lists 8. GGally: Extension to 'ggplot2' 9. antaresViz: Antares Visualizations 画地图 10. dynplot: Visualising Single-Cell Trajectories 生物学细胞画图 11. hasseDiagram: Drawing Hasse Diagram 海塞图 12. ggstatsplot: 'ggplot2' Based Plots with Statistical Details 13. lessR: Less Code, More Results 非常

1.Synth: Synthetic Control Group Method for Comparative Case Studies https://cran.r-project.org/web/packages/Synth/index.html

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