The sketch and vectorization
December 8, 2025 at 10:38 PM
The sketch and vectorization
hasty vectorization based on a scan from a manual
April 19, 2026 at 11:08 PM
hasty vectorization based on a scan from a manual
Feeling deep appreciation for @noamross.net, this morning, and his helpful blog post on vectorization in R. www.noamross.net/archives/201... #rstats
Vectorization in R: Why?
Here are my notes from a recent talk I gave on vectorization at a Davis R Users’ Group meeting. Thanks to Vince Buffalo, John Myles White, and Hadley Wickham for their input as I was preparing this. F...
www.noamross.net
March 5, 2025 at 4:43 PM
Feeling deep appreciation for @noamross.net, this morning, and his helpful blog post on vectorization in R. www.noamross.net/archives/201... #rstats
We now have 12,463 silhouettes on PhyloPic! Cant believe it took this long to get a Sacabambaspis. #sciart www.phylopic.org/images/a6428...
Sacabambaspis janvieri by Petr Menshikov (original illustration), T. Michael Keesey (vectorization) (CC BY 4.0) - PhyloPic
A free silhouette image of Sacabambaspis janvieri Gagnier & al. 1986 by Petr Menshikov (original illustration), T. Michael Keesey (vectorization) (License: Attribution 4.0 International).
www.phylopic.org
May 25, 2026 at 4:11 PM
We now have 12,463 silhouettes on PhyloPic! Cant believe it took this long to get a Sacabambaspis. #sciart www.phylopic.org/images/a6428...
introduce firehose vectorization, sidejam the redis cluster, remodulate the cyclic tetromicrons, then you'd really have something
April 11, 2025 at 11:41 PM
introduce firehose vectorization, sidejam the redis cluster, remodulate the cyclic tetromicrons, then you'd really have something
Vectorization is happening.
September 28, 2023 at 11:56 PM
Vectorization is happening.
CPU Vectorization: Game-changer for Columnar DBs
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups; vectorization makes the rest fly.
Full explanation: bit.ly/48U7bDf #Vectorization
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups; vectorization makes the rest fly.
Full explanation: bit.ly/48U7bDf #Vectorization
May 15, 2026 at 5:36 AM
CPU Vectorization: Game-changer for Columnar DBs
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups; vectorization makes the rest fly.
Full explanation: bit.ly/48U7bDf #Vectorization
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups; vectorization makes the rest fly.
Full explanation: bit.ly/48U7bDf #Vectorization
FontCrafter: Create Your Handwriting Font for Free
FontCrafter: Create Your Handwriting Font for Free
Convert your scanned handwriting into custom OTF, TTF, and WOFF2 fonts with local browser processing and vectorization. No account or uploads needed.
arcade.pirillo.com
March 10, 2026 at 7:16 AM
FontCrafter: Create Your Handwriting Font for Free
CPU Vectorization is a game-changer for Columnar Databases.
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups, but vectorization makes everything else fly!
Full story: bit.ly/48U7bDf
#Vectorization #Database
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups, but vectorization makes everything else fly!
Full story: bit.ly/48U7bDf
#Vectorization #Database
May 12, 2026 at 5:03 PM
CPU Vectorization is a game-changer for Columnar Databases.
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups, but vectorization makes everything else fly!
Full story: bit.ly/48U7bDf
#Vectorization #Database
SIMD processes 8-64 values at once, delivering 2x–160x faster scans & filters on non-indexed data. Indexes win for lookups, but vectorization makes everything else fly!
Full story: bit.ly/48U7bDf
#Vectorization #Database
Nobody cares about vectorization
blog.s-schoener.com/2025-03-25-v...
blog.s-schoener.com/2025-03-25-v...
Nobody cares about vectorization? | Sebastian Schöner
In a recent discussion around auto-vectorization someone suggested: “What if users could tell the compiler that they expect a loop to be vectorized?” We are in luck, that experiment has already been c...
blog.s-schoener.com
March 25, 2025 at 11:19 AM
Nobody cares about vectorization
blog.s-schoener.com/2025-03-25-v...
blog.s-schoener.com/2025-03-25-v...
Preprint is now available:
🔗 research.manchester.ac.uk/en/publicati...
#riscv #java #acceleration #vectorization #tornadovm
🔗 research.manchester.ac.uk/en/publicati...
#riscv #java #acceleration #vectorization #tornadovm
March 24, 2025 at 7:54 AM
Preprint is now available:
🔗 research.manchester.ac.uk/en/publicati...
#riscv #java #acceleration #vectorization #tornadovm
🔗 research.manchester.ac.uk/en/publicati...
#riscv #java #acceleration #vectorization #tornadovm
Sketch & vectorization with Illustrator to make the mobile game #Triogical
#indiedev #indiegame #gamedev
#indiedev #indiegame #gamedev
April 24, 2026 at 8:52 AM
Sketch & vectorization with Illustrator to make the mobile game #Triogical
#indiedev #indiegame #gamedev
#indiedev #indiegame #gamedev
Upon this day we are BLESSED!
best of breed vectorization is arriving imminently !
best of breed vectorization is arriving imminently !
September 23, 2026 at 9:51 PM
Upon this day we are BLESSED!
best of breed vectorization is arriving imminently !
best of breed vectorization is arriving imminently !
Great video explaining a clever vectorization for learning on strings and dirty categories:
the MinHashEncoder is fast, stateless, and excellent with tree-based learners.
It's in @skrub-data.bsky.social
youtu.be/ZMQrNFef8fg
the MinHashEncoder is fast, stateless, and excellent with tree-based learners.
It's in @skrub-data.bsky.social
youtu.be/ZMQrNFef8fg
Why the MinHashEncoder is great for boosted trees
YouTube video by probabl
youtu.be
November 21, 2024 at 10:12 AM
Great video explaining a clever vectorization for learning on strings and dirty categories:
the MinHashEncoder is fast, stateless, and excellent with tree-based learners.
It's in @skrub-data.bsky.social
youtu.be/ZMQrNFef8fg
the MinHashEncoder is fast, stateless, and excellent with tree-based learners.
It's in @skrub-data.bsky.social
youtu.be/ZMQrNFef8fg
StarVector
StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.
StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.
March 21, 2025 at 11:09 PM
StarVector
StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.
StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.
similarly, if you read this 2010 article on pre-NN vectorization, vectors are basically curiosities - they're interesting, but not that effective: www.jair.org/index.php/ja...
It's a great article, because it's *right* before NNs changed everything.
It's a great article, because it's *right* before NNs changed everything.
From Frequency to Meaning: Vector Space Models of Semantics
| Journal of Artificial Intelligence Research
www.jair.org
September 25, 2026 at 2:50 PM
similarly, if you read this 2010 article on pre-NN vectorization, vectors are basically curiosities - they're interesting, but not that effective: www.jair.org/index.php/ja...
It's a great article, because it's *right* before NNs changed everything.
It's a great article, because it's *right* before NNs changed everything.
Vectorization practice: Gekkomon! Shaded and flat color variants. #digimon #beatbreak #gekkomon #デジモン
February 7, 2026 at 10:12 PM
Vectorization practice: Gekkomon! Shaded and flat color variants. #digimon #beatbreak #gekkomon #デジモン
Advanced NumPy Course 🚀
This one-hour tutorial by NeuarlNine focused on NumPy's advanced functionality. This includes the following topics:
✅ Broadcasting
✅ Vectorization
✅ Masking
✅ Advanced indexing
📽️: www.youtube.com/watch?v=pQt8...
#Python #DataScience #MachineLearning
This one-hour tutorial by NeuarlNine focused on NumPy's advanced functionality. This includes the following topics:
✅ Broadcasting
✅ Vectorization
✅ Masking
✅ Advanced indexing
📽️: www.youtube.com/watch?v=pQt8...
#Python #DataScience #MachineLearning
Advanced NumPy Course - Vectorization, Masking, Broadcasting & More
YouTube video by NeuralNine
www.youtube.com
September 13, 2024 at 2:49 PM
Advanced NumPy Course 🚀
This one-hour tutorial by NeuarlNine focused on NumPy's advanced functionality. This includes the following topics:
✅ Broadcasting
✅ Vectorization
✅ Masking
✅ Advanced indexing
📽️: www.youtube.com/watch?v=pQt8...
#Python #DataScience #MachineLearning
This one-hour tutorial by NeuarlNine focused on NumPy's advanced functionality. This includes the following topics:
✅ Broadcasting
✅ Vectorization
✅ Masking
✅ Advanced indexing
📽️: www.youtube.com/watch?v=pQt8...
#Python #DataScience #MachineLearning
Unfortunately, data-dependent branches and bounds make this code pattern extremely difficult for traditional auto-vectorization.
#Splyce is an auto-vectorization framework, implemented as an optimization pass that intercepts the MLIR Sparsifier pipeline.
#Splyce is an auto-vectorization framework, implemented as an optimization pass that intercepts the MLIR Sparsifier pipeline.
September 27, 2026 at 8:16 PM
Unfortunately, data-dependent branches and bounds make this code pattern extremely difficult for traditional auto-vectorization.
#Splyce is an auto-vectorization framework, implemented as an optimization pass that intercepts the MLIR Sparsifier pipeline.
#Splyce is an auto-vectorization framework, implemented as an optimization pass that intercepts the MLIR Sparsifier pipeline.
Guru will be leading the organic huddle on vectorization in 4343.3 decaquartiles time
September 26, 2026 at 9:55 PM
Guru will be leading the organic huddle on vectorization in 4343.3 decaquartiles time
I gotta work on my _Array(T, N) paper before C29 closes out so I can make sure Javier's paper on vectorization has a better chance. (_Span(T, ...) will probably take a bit more time...)
May 24, 2026 at 12:44 AM
I gotta work on my _Array(T, N) paper before C29 closes out so I can make sure Javier's paper on vectorization has a better chance. (_Span(T, ...) will probably take a bit more time...)
1️⃣ Updates for Scikit-Mol!
Scikit-Mol has received key maintenance updates thanks to Benjamin Ries. It integrates @rdkit.bsky.social featurization into @scikit-learn.bsky.social pipelines, making deployable molecular ML models easier. Check it out: github.com/EBjerrum/sci...
Scikit-Mol has received key maintenance updates thanks to Benjamin Ries. It integrates @rdkit.bsky.social featurization into @scikit-learn.bsky.social pipelines, making deployable molecular ML models easier. Check it out: github.com/EBjerrum/sci...
GitHub - EBjerrum/scikit-mol: scikit-learn classes for molecular vectorization using RDKit
scikit-learn classes for molecular vectorization using RDKit - EBjerrum/scikit-mol
github.com
November 26, 2024 at 3:04 PM
1️⃣ Updates for Scikit-Mol!
Scikit-Mol has received key maintenance updates thanks to Benjamin Ries. It integrates @rdkit.bsky.social featurization into @scikit-learn.bsky.social pipelines, making deployable molecular ML models easier. Check it out: github.com/EBjerrum/sci...
Scikit-Mol has received key maintenance updates thanks to Benjamin Ries. It integrates @rdkit.bsky.social featurization into @scikit-learn.bsky.social pipelines, making deployable molecular ML models easier. Check it out: github.com/EBjerrum/sci...
An old, but great read about vectorization in R.
www.noamross.net/archives/201...
www.noamross.net/archives/201...
Vectorization in R: Why?
Here are my notes from a recent talk I gave on vectorization at a Davis R Users’ Group meeting. Thanks to Vince Buffalo, John Myles White, and Hadley Wickham for their input as I was preparing this. F...
www.noamross.net
March 26, 2025 at 9:06 AM
An old, but great read about vectorization in R.
www.noamross.net/archives/201...
www.noamross.net/archives/201...
New data oriented file format just dropped.
FastLanes, "like Parquet, but with 40% better compression and 40× faster decoding". 👀
Seems it can exploit correlations between columns and have fully SIMD friendly encodings to help with vectorization.
github.com/cwida/FastLa...
FastLanes, "like Parquet, but with 40% better compression and 40× faster decoding". 👀
Seems it can exploit correlations between columns and have fully SIMD friendly encodings to help with vectorization.
github.com/cwida/FastLa...
GitHub - cwida/FastLanes: Next-Gen Big Data File Format
Next-Gen Big Data File Format. Contribute to cwida/FastLanes development by creating an account on GitHub.
github.com
July 24, 2025 at 3:12 PM
New data oriented file format just dropped.
FastLanes, "like Parquet, but with 40% better compression and 40× faster decoding". 👀
Seems it can exploit correlations between columns and have fully SIMD friendly encodings to help with vectorization.
github.com/cwida/FastLa...
FastLanes, "like Parquet, but with 40% better compression and 40× faster decoding". 👀
Seems it can exploit correlations between columns and have fully SIMD friendly encodings to help with vectorization.
github.com/cwida/FastLa...