A queue of things that are pending further time to read and understand.
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Learning to Predict Without Looking Ahead: World Models Without Forward Prediction - I think world models are fascinating.
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Line Wrapping and Contrast Detection
- https://github.com/xdamman/js-line-wrap-detector
- https://developer.mozilla.org/en-US/docs/Web/API/Element/getClientRects
- https://jsfiddle.net/abrady0/ggr5mu7o/ - The use of ranges to determine which word was clicked, may be useful to determine which words are contained in a bounding box.
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MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding
- Interesting use of both Memnet and Minimum Barrier Salient Object Detection at 80 FPS.
- Implementation of MBS 80 pyimgsaliency
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Enhancing Email Functionality using Late Bound Content
- basically render emails as gifs/images rather than including them in emails so there can be "live" content.
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Learning Visual Importance for Graphic Designs and Data Visualizations
- https://github.com/remega/Sal-DCNN
- SID4VAM
- Contextual Encoder-Decoder Network for Visual Saliency Prediction
- AMNet: Memorability Estimation with Attention
- https://github.com/stevemar/powerai-image-memorability
- GANalyze: Toward Visual Definitions of Cognitive Image Properties
- This paper applies GANs to adjust an image in such a way to increase or decrease memorability, aesthetics or emotional valience. Unfortunetely, the GANs are only trained on ImageNet classes so it is not yet possible to apply them to the full spectrum of imagery found in the real world. By applying the GAN to generated imagery and looking at the changes made by the GAN when attempting to increase a property of an image there is a way to start to understand what changes would increase or decrease the desired property.
- https://observablehq.com/@mourner/simple-rectangle-packing?collection=@mourner/algorithms
- https://vega.github.io/vega-lite/examples/
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https://10xgenomics.github.io/rust-boomphf/master/boomphf/index.html
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https://towardsdatascience.com/turn-amazon-s3-into-a-spatio-temporal-database-40f1a210e943
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https://www.indiehackers.com/article/we-wasted-50k-on-google-ads-so-you-dont-have-to-355a425b27
- https://www.reddit.com/r/rust/comments/dx2k2q/hilbert_curve_transformation_crate_for/
- https://github.com/davidmoten/hilbert-curve - interesting implementation of range querying using Hilbert curves.
- https://www.weather.gov/mdl/digitalforecastservices_home
- https://www.nws.noaa.gov/mdl/synop/gmos/gmosgrib2_wxinfo.html
- https://leafletjs.com/examples/choropleth/
- https://www.weather.gov/mdl/nbm_home
- https://www.weather.gov/mdl/grib_design
- https://nomads.ncep.noaa.gov/
- http://home.chpc.utah.edu/~u0553130/Brian_Blaylock/cgi-bin/hrrr_download.cgi?model=hrrr&field=sfc&date=2020-02-11&link2=metadata
- https://rapidrefresh.noaa.gov/GRIB2Table_GSDrap_2d.txt
- https://github.com/ai4iacts/hexagdly
- H3 Encoder for Tensorflow v1: https://github.com/uber/ludwig/blob/a594ab5fd93337cbae3bdc4b8719509c1739e129/ludwig/models/modules/h3_encoders.py
- https://healpix.sourceforge.io/html/csub.htm
- https://healpix.sourceforge.io/html/intro_Geometric_Algebraic_Propert.htm
- https://github.com/davidmoten/hilbert-curve/blob/master/src/main/java/org/davidmoten/hilbert/SmallHilbertCurve.java#L188
- https://github.com/davidmoten/sparse-hilbert-index/tree/master/src/main/java/com/github/davidmoten/shi
- https://stackoverflow.com/questions/53472433/range-search-with-hilbert-curve-index
- https://www.kaggle.com/c/porto-seguro-safe-driver-prediction/discussion/44629
- https://docs.scipy.org/doc/scipy/reference/generated/scipy.special.erfinv.html
- http://home.chpc.utah.edu/~u0553130/Brian_Blaylock/HRRR_archive/hrrr_sfc_table_f02-f18.html
- https://rapidrefresh.noaa.gov/RAP_var_diagnosis.html
- Super-convergence in Tensorflow 2 with the 1Cycle Policy
- https://www.avanwyk.com/tensorflow-2-super-convergence-with-the-1cycle-policy/amp/
- https://www.google.com/amp/s/www.avanwyk.com/tensorflow-2-super-convergence-with-the-1cycle-policy/amp/