Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
![Screenshot 2023-12-18 at 10 40 27 PM](https://private-user-images.githubusercontent.com/3837836/291468646-4c30ad72-76ee-4939-a5fb-16b570d38cf2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.7hpzaursosveTP7V7UMEzc42J7qnlZDHICN54mL7UPY)
/** | |
* K.jpg's OpenSimplex 2, smooth variant ("SuperSimplex") | |
* | |
* More language ports, as well as legacy 2014 OpenSimplex, can be found here: | |
* https://github.com/KdotJPG/OpenSimplex2 | |
*/ | |
public class OpenSimplex2S { | |
private static final long PRIME_X = 0x5205402B9270C86FL; |
extends Node | |
# Based on this tweet by Clay John: | |
# https://twitter.com/john_clayjohn/status/1306447928932753408 | |
func _ready() -> void: | |
# Create a local rendering device. | |
var rd := RenderingServer.create_local_rendering_device() | |
#!/bin/bash | |
### steps #### | |
# verify the system has a cuda-capable gpu | |
# download and install the nvidia cuda toolkit and cudnn | |
# setup environmental variables | |
# verify the installation | |
### | |
### to verify your gpu is cuda enable check |