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Update list of Highway users
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README.md

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* Audio: [Zimtohrli perceptual metric](https://github.com/google/zimtohrli)
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* Browsers: Chromium (+Vivaldi), Firefox (+floorp / foxhound / librewolf /
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Waterfox)
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* Computational biology: [RNA analysis](https://github.com/bnprks/BPCells)
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* Computer graphics: [Sparse voxel renderer](https://github.com/rools/voxl)
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* Computational biology: [RNA analysis](https://github.com/bnprks/BPCells),
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[long-sequence preprocessing](https://github.com/OpenGene/fastplong)
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* Computer graphics: ghostty-org/ghostty,
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[Sparse voxel renderer](https://github.com/rools/voxl),
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[tgfx 2D Graphics library](https://github.com/Tencent/tgfx)
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* Cryptography: google/distributed_point_functions, google/shell-encryption
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* Data structures: bkille/BitLib
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* Image codecs: eustas/2im,
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[Grok JPEG 2000](https://github.com/GrokImageCompression/grok),
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[JPEG XL](https://github.com/libjxl/libjxl),
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[JPEGenc](https://github.com/osamu620/JPEGenc),
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[Jpegli](https://github.com/google/jpegli), OpenHTJ2K
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* Image processing: cloudinary/ssimulacra2, m-ab-s/media-autobuild_suite,
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[libvips](https://github.com/libvips/libvips)
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[Jpegli](https://github.com/google/jpegli),
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[libaom](https://aomedia.googlesource.com/aom/),
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[OpenHTJ2K](https://github.com/osamu620/OpenHTJ2K)
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* Image processing: awxkee/aire, cloudinary/ssimulacra2,
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[libvips](https://github.com/libvips/libvips), m-ab-s/media-autobuild_suite,
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* Image viewers: AlienCowEatCake/ImageViewer, diffractor/diffractor,
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mirillis/jpegxl-wic,
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[Lux panorama/image viewer](https://bitbucket.org/kfj/pv/)
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[Lux panorama/image viewer](https://bitbucket.org/kfj/pv/),
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mirillis/jpegxl-wic
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* Information retrieval:
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[iresearch database index](https://github.com/iresearch-toolkit/iresearch),
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michaeljclark/zvec,
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[nebula interactive analytics / OLAP](https://github.com/varchar-io/nebula),
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[ScaNN Scalable Nearest Neighbors](https://github.com/google-research/google-research/tree/7a269cb2ce0ae1db591fe11b62cbc0be7d72532a/scann),
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[vectorlite vector search](https://github.com/1yefuwang1/vectorlite/)
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* Machine learning: [gemma.cpp](https://github.com/google/gemma.cpp),
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Tensorflow, Numpy, zpye/SimpleInfer
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[`ScaNN` Scalable Nearest Neighbors](https://github.com/google-research/google-research/tree/7a269cb2ce0ae1db591fe11b62cbc0be7d72532a/scann),
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* Machine learning: array2d/deepx,
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[gemma.cpp](https://github.com/google/gemma.cpp), Tensorflow, Numpy,
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zpye/SimpleInfer
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* Programming languages:
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[AOT-compiled python](https://github.com/exaloop/codon), oven-sh/bun, V8/V8,
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yinqiwen/rapidudf
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* Robotics:
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[MIT Model-Based Design and Verification](https://github.com/RobotLocomotion/drake)
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* Vector search: 1yefuwang1/vectorlite, vespa-engine/vespa
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Other
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