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learnxinyminutes-docs
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image-super-resolution | learnxinyminutes-docs | |
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19 | 226 | |
4,459 | 11,103 | |
1.0% | - | |
0.0 | 9.1 | |
16 days ago | 3 days ago | |
Python | JavaScript | |
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image-super-resolution
- A tech worker is selling a children's book he made using AI. Professional illustrators are pissed.
- Low quality surveillance footage from a hit and run that happened today. Greatly appreciate if anyone has any ideas on how to get the plate number.
- What’s an extremely useful website most people probably don’t know about?
- VC#4 - pancake - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
- VC#1 - presidency - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
- I unwrapped Neil Armstrong’s visor to 360 sphere to see what he saw.
- Totally free and unlimited upscale or superresolution AI
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Feasibility of Using a Python Image Super Resolution Library in My Rust App
I'm building a photo editing app in rust and though it might be nice to have an AI super resolution feature. A user could click a button to increase the images size by 2x, 4x, etc. The Python library Idealo seems great for this. I've watched this tutorial on embedding python in rust with inline_python, and I'm wondering, are things really that simple? You could just call and use the python library in your rust code like you would normal python code? I'm assuming that their needs to be some conversion from the python types to rust types, but for a simple image this doesn't seem too complex. Does anyone have experience with embedding python in their rust app?
learnxinyminutes-docs
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Scripts should be written using the project main language
> Learning a new language shouldn't be difficult. Programmers are expected to familiarize themselves with new tech.
I wish any large company agreed with this. I've worked for a company that on boarded every single new engineer to a very niche language (F#) in a few days. Also, everybody I worked with there was amazing. Probably because of that kind of mindset.
Meanwhile google tiptoes around teams adopting kotlin because "oh no, what if other teams touching the code might not be able to read it". Google is supposed to be hiring the brightest but internally is worried the brightest can't review slightly-different-java.
It's shocking how everybody acts like senior engineers might need months to learn a new language. Sure, maybe for some esoteric edge cases, but 5 mins on https://learnxinyminutes.com/ should get you 80% of the way there, and an afternoon looking at big projects or guidelines/examples should you another 18% of the way.
> Sure, maybe for some esoteric edge cases, but 5 mins on https://learnxinyminutes.com/ should get you 80% of the way there, and an afternoon looking at big projects or guidelines/examples should you another 18% of the way.
Not for C++, and even for other languages, it's not the language that's hard, it's the idioms.
Python written by experts can be well-nigh incomprehensible (you can save typing out exactly one line if you use list-comprehensions everywhere!).
Someone who knows Javascript well still needs to know all the nooks and crannies of the popular frameworks.
Java with the most popular frameworks (Spring/Boot/etc) can be impossible for a non-Java programmer to reason about (where's all this fucking magic coming from? Where is it documented? What are the other magic words I can put into comments?)
C# is turning into a C++ wannabe as far as comprehension complexity goes.
Right now, the quickest onboarding I've seen by far are Go codebases.
The knowledge tree required to contribute to a codebase can exists on a Deep axis and a Wide axis. C++ goes Deep and Wide. Go and C are the only projects I've seen that goes neither deep nor wide.
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100+ FREE Resources Every Web Developer Must Try
Learn x in y minutes: Concise tutorials to learn various programming languages and tools quickly.
- SQL for Data Scientists in 100 Queries
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New GitHub Copilot Research Finds 'Downward Pressure on Code Quality'
StackOverflow's making their own competing LLM for all this stuff.
IMO, one of the biggest problems with the way people use LLMs right now, is that they're being treated as a single oracle: to know Java, it must be trained on examples of Java.
It would be much better if their language comprehension abilities were kept separated from their knowledge (and there are development efforts in this direction), so in this example it would be trained to be able to be able to read a Java tutorial rather than by actually reading a Java tutorial, so when the overall system is asked to write something in Java, the language model within the system decides to do this by opening https://learnxinyminutes.com and combining the user query with the webpage.
I think this will help make the models more compact, which is a benefit all by itself, but it would also mean that knowledge can be updated much more easily.
Someone would have to actually do this in order to see if those benefits are worth the extra cost of having to load a potentially huge a tutorial into the context window, and likewise the extent to which a more compact training set makes the language comprehension worse.
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Ask HN: Programming Courses for Experienced Coders?
I'm still partial to LearnXinYMinutes[0]. It's how I learned enough MatLab/Octave in a couple hours to test out of an intro CS course.
Here's their article on Elixir[1]
The project was created and is maintained by Adam Bard, but is open sourced with over 1.7k contributors since 2013
- Lean 4.0.0, first official lean4 release
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Anyone got good resources for experienced devs that don't know front end?
Very light compared to the other resources people have linked for you, but I love https://learnxinyminutes.com/
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Any advice on how to learn from programming tutorials, or are there any better ways to learn a new language?
https://learnxinyminutes.com is good when you know how to program but just need a quick look at the syntax and idioms of a new language.
What are some alternatives?
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
waifu2x - Image Super-Resolution for Anime-Style Art
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
learn-x-by-doing-y - 🛠️ Learn a technology X by doing a project - Search engine of project-based learning
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
the-road-to-learn-react - đź““The Road to learn React: Your journey to master plain yet pragmatic React.js
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
materials - Bonus materials, exercises, and example projects for our Python tutorials