#simulationinmatlab kết quả tìm kiếm

Không có kết quả nào cho "#simulationinmatlab"
Không có kết quả nào cho "#simulationinmatlab"
Không có kết quả nào cho "#simulationinmatlab"

Algorithms simulate scenarios to forecast optimal solutions for complex challenges.

SOSE_Hq's tweet image. Algorithms simulate scenarios to forecast optimal solutions for complex challenges.

❤️ Get ready for #VDay with a special code! [y,x,z] = ndgrid(linspace(-2,2,100),linspace(-2,2,100),linspace(-2,2,100)); f = (x.^2+9/4*y.^2+z.^2-1).^3-x.^2.*z.^3-9/80*y.^2.*z.^3; colormap hot title('i love you'); cla isosurface(x,y,z,f,.0); view(3); camlight axis off

MATLAB's tweet image. ❤️ Get ready for #VDay with a special code!

[y,x,z] = ndgrid(linspace(-2,2,100),linspace(-2,2,100),linspace(-2,2,100)); 
f = (x.^2+9/4*y.^2+z.^2-1).^3-x.^2.*z.^3-9/80*y.^2.*z.^3; 
colormap hot 
title('i love you');
cla 
isosurface(x,y,z,f,.0); 
view(3); 
camlight 
axis off

⚽️ Don't pass on this free-kick simulator ➡️ spr.ly/6018oryVe

MATLAB's tweet image. ⚽️ Don't pass on this free-kick simulator ➡️ spr.ly/6018oryVe

These gems are exactly why I love experimenting with @simcluster

N_3_Z_Z's tweet image. These gems are exactly why I love experimenting with @simcluster

Most AI images look cheap. Not because the model failed, because the prompt did. Here’s how to make your visuals feel photographed, not generated: 🧵

ImMO7D's tweet image. Most AI images look cheap.
Not because the model failed, because the prompt did.

Here’s how to make your visuals feel photographed, not generated: 🧵

library(tidyverse) iris %>% select(Petal.Length, Sepal.Width)

kennedymwavu's tweet image. library(tidyverse)
iris %>% select(Petal.Length, Sepal.Width)

5 Days of Matlab, Simulink & SimScape + ChatGPT - New! matlabcoding.com/2025/10/5-days…

Matlabcoding's tweet image. 5 Days of Matlab, Simulink & SimScape + ChatGPT - New! 

matlabcoding.com/2025/10/5-days…

"It's just a filter bro" the Noisia filter: real-time .cube LUT parsing & application with 8-corner sampling + rgba interpolation + dithering algorithm + luminance-aware film grain simulation + distance-based vignette with adjustable falloff intensity + blending, all on a…

noisiastudio's tweet image. "It's just a filter bro"

the Noisia filter:
real-time .cube LUT parsing & application with 8-corner sampling + rgba interpolation + dithering algorithm + luminance-aware film grain simulation + distance-based vignette with adjustable falloff intensity + blending, all on a…

Download this MATLAB code to extract data points from an image file! spr.ly/60123u5NM

MATLAB's tweet image. Download this MATLAB code to extract data points from an image file! spr.ly/60123u5NM

🤖 Not sure which ML algorithm to use? Save this cheat sheet for quick answers later!

MATLAB's tweet image. 🤖 Not sure which ML algorithm to use? Save this cheat sheet for quick answers later!

A set of visual experiments: applying Fourier transform to various plane-filling curves github.com/dmishin/fft-im…

algoritmic's tweet image. A set of visual experiments: applying Fourier transform to various plane-filling curves github.com/dmishin/fft-im…

Introducing the ultimate guide to mastering robotics and vision algorithms: "Robotics, Vision and Control: Fundamental Algorithms In MATLAB, 3e" 🤖👀 Explore over 1600 practical code examples & get your copy today 👉 spr.ly/6019POYOP

MathWorks's tweet image. Introducing the ultimate guide to mastering robotics and vision algorithms: "Robotics, Vision and Control: Fundamental Algorithms In MATLAB, 3e" 🤖👀

Explore over 1600 practical code examples & get your copy today 👉 spr.ly/6019POYOP

GM GM Fam 🌞 Another day in the matrix simulation. Let's see what happens. 🍿

syn3rgy_artlab's tweet image. GM GM Fam 🌞
Another day in the matrix simulation. 
Let's see what happens. 🍿

The GitHub repository with a template to reproduce this and many more image recognition tasks is public. I made it as simple as possible so everybody can play with it . If you run out of ideas, I also leave a list of cool Kaggle datasets to play with. Check the first comment!

mfranz_on's tweet image. The GitHub repository with a template to reproduce this and many more image recognition tasks is public.

I made it as simple as possible so everybody can play with it . If you run out of ideas, I also leave a list of cool Kaggle datasets to play with.

Check the first comment!

This is the power of YOLO, trained on a laptop for ~1 hour, with a Kaggle dataset. Oh, and just ~100 lines of Python. I can make a startup on this and it took me literally a couple of hours.



A new SOTA image-editing model is here! It delivers incredible results with chain-of-thought reasoning. If you're a professional designer or app builder, try Riverflow 1 on @runware. Here are five great examples ⤵️ 1. From a top-down view to various angles

umesh_ai's tweet image. A new SOTA image-editing model is here!

It delivers incredible results with chain-of-thought reasoning.

If you're a professional designer or app builder, try Riverflow 1 on @runware.

Here are five great examples ⤵️

1. From a top-down view to various angles
umesh_ai's tweet image. A new SOTA image-editing model is here!

It delivers incredible results with chain-of-thought reasoning.

If you're a professional designer or app builder, try Riverflow 1 on @runware.

Here are five great examples ⤵️

1. From a top-down view to various angles
umesh_ai's tweet image. A new SOTA image-editing model is here!

It delivers incredible results with chain-of-thought reasoning.

If you're a professional designer or app builder, try Riverflow 1 on @runware.

Here are five great examples ⤵️

1. From a top-down view to various angles

Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm

k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm
k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm
k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm
k1t_catt's tweet image. Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm

[PROMPT] --chaos 30 --ar 16:9 --sref 3486792880 --sw 500 --stylize 500

umesh_ai's tweet image. [PROMPT] --chaos 30 --ar 16:9 --sref 3486792880 --sw 500 --stylize 500
umesh_ai's tweet image. [PROMPT] --chaos 30 --ar 16:9 --sref 3486792880 --sw 500 --stylize 500
umesh_ai's tweet image. [PROMPT] --chaos 30 --ar 16:9 --sref 3486792880 --sw 500 --stylize 500
umesh_ai's tweet image. [PROMPT] --chaos 30 --ar 16:9 --sref 3486792880 --sw 500 --stylize 500

Computation simulates instinct through structured probability.

Adam477235's tweet image. Computation simulates instinct through structured probability.

I often forget this, but you can use a gradient with .foregroundStyle and SF Symbols. That's how I have the multi-colored one here: ``` Image(systemName: "yourSymbol") .foregroundStyle(Gradient(colors: [.purple, .red, .blue]) ```

JordanMorgan10's tweet image. I often forget this, but you can use a gradient with  .foregroundStyle and SF Symbols. That's how I have the multi-colored one here:

```
Image(systemName: "yourSymbol")
    .foregroundStyle(Gradient(colors: [.purple, .red, .blue])
```

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