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Photoshop has the scaling option "Bicubic Sharper (reduction)", which produces less blurry, more legible images, compared to PNG to ICO. It's more noticable the smaller the image, and on 16x16, it can…
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### Describe new/missing feature
Hello! I come from the machine learning side of nonlinear solving, and I've been using the default NewtonSolver for some hyperelasticity problems. I was wondering if …
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The best way to do bulk few-limb arithmetic on real numbers seems to be to convert to fixed-point form for things like matrix multiplication, FFT and polynomial multiplication. This generally means us…
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Currently, the `align` function and its derivatives only support alignement for binary variables (as far as I know).
It would be useful to be able to handle multinomial alignment, ie. alignement wh…
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As screenshotted here
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- [ ] [The Scaling Hypothesis · Gwern.net](https://gwern.net/scaling-hypothesis)
# The Scaling Hypothesis · Gwern.net
**DESCRIPTION:** "GPT-3, announced by OpenAI in May 2020, is the largest neura…
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### Expected behavior 预期的功能
I would like to be able to change scaling mode without leaving fullscreen, selecting from the dropdown, and fullscreening again. It can be hard to compare scaling algorith…
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Hello hnswlib Team,
I am wondering for high Local Intrinsic dimension dataset, complexity for database building is still O(N*log(N))?
Another question I have is, from a HNSW graph structure, we ca…
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What are people's thoughts on how constrained optimization should be handled? I ask because I'm writing an implementation of the parametric simplex and affine scaling methods for linear optimization, …
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I just thought it would be cool to have a few more scaling filters available, like bicubic and lanczos. Bicubic has looked a bit nicer for downscaling in my experience!
Sukid updated
9 months ago