HN Explorer

lmcinnes

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No user record in our sample, but lmcinnes has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.

  1. Visualizing a topic model of NeurIPS 2025 Papers (newsletter.languagemodels.co)
    2 points 0
  2. SoarXiv: Soar through ArXiv paper space (soarxiv.org)
    3 points 1
  3. Show HN: Exploring five million Hacker News posts (lmcinnes.github.io)

    This is a data map providing a view of all Hacker News stories with a score of at least 2 (to remove most of the spam). Stories are close together in the map if they have semantically similar titles. In the bottom left…

    3 points 1
  4. Show HN: An interactive explorable map of 5M Hacker News stories (lmcinnes.github.io)

    This is a data map providing a view of all HackerNews stories with a score of at least 2 (to remove most of the spam). Stories are close together in the map if they have semantically similar titles. In the bottom left…

    3 points 1
  5. The Landscape of Machine Learning on ArXiv (lmcinnes.github.io)
    31 points 11
  6. Show HN: An Interactive Map of Machine Learning Papers on ArXiv (lmcinnes.github.io)

    Zoom in for more detailed topic area labels, hover for paper titles, click on a dot to search for the title of the paper. Search works over paper titles.

    1 points 0
  7. Show HN: DataMapPlot for visualizing large corpora of documents (github.com)
    3 points 0
  8. Show HN: DataMapPlot for beautiful plots of data maps (datamapplot.readthedocs.io)
    2 points 0
  9. An Approx Nearest Neighbor Algorithm: How PyNNDescent Works (pynndescent.readthedocs.io)
    2 points 0
  10. Approx Nearest Neighbor Search: How PyNNDescent Works (pynndescent.readthedocs.io)
    2 points 0
  11. Comparing Deep Neural Networks with UMAP Tour (tiga1231.github.io)
    1 points 0
  12. Understanding Hdbscan and Density-Based Clustering (towardsdatascience.com)
    3 points 0
  13. Embed All the Things! Embedding Beers, Breweries, and Beer Styles (among others) (youtube.com)
    2 points 0
  14. Understanding the UMAP dimension reduction algorithm (pair-code.github.io)
    1 points 0
  15. Understanding the UMAP dimension reduction algorithm (pair-code.github.io)
    2 points 0
  16. Topological methods for unsupervised learning problems [video] (slideslive.com)
    57 points 13
  17. A Bluffer's Guide to Dimension Reduction (youtube.com)
    2 points 0
  18. Analysing Audio with Wavenet, MFCCs, UMAP, T-SNE and PCA (medium.com)
    2 points 0
  19. Show HN: Mapping and Analysing Subreddits (lmcinnes.github.io)
    21 points 0
  20. Mapping Subreddits with T-SNE Variant LargeVis (lmcinnes.github.io)
    3 points 0
  21. Mapping and Analysing SubReddits Using Python (lmcinnes.github.io)
    2 points 0
  22. Spherical Cows and SQuare Pegs: A Guide to Clustering Data (youtube.com)
    3 points 0
  23. Making Sense of Everything with words2map (blog.yhat.com)
    60 points 29
  24. 10 Great Talks from SciPy 2016 (kdnuggets.com)
    3 points 0