A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.
| Name | Stars | Last Commit | Description |
|---|---|---|---|
| three.js | ![GitHub |
| # Instance Launch: | |
| gcloud beta compute \ | |
| --project=PROJECT-ID \ # Changeme | |
| instances create virtualbox \ | |
| --zone=europe-west2-c \ | |
| --machine-type=n1-standard-2 \ | |
| --metadata=ssh-keys=imharvol:ssh-rsa\ AAAAB3NzaC1yc2EAAAADAQABAAABAQDzQ5Z5gLRJXgLvUBCTkvsTfV2xbxkh64vlHZlZCNDz7u5BPb3PsR/ggrealR7JVDeStOB5yv52pj\+XYj3o5qhRLFhf2QZlvtpjBnfiDrZIIXGMkQ3McQlAixE1nZPHEt4mzwAEAuvd2KK\+RysaAQKZ2mTuwxmGE439ZJbQjbgBMOnGkR61YGDxZywBQnDMtJZ2I9B\+/kC07tQIkmj5L0YN/kpXfebmckn8d0Eq6ckPJ4vQI9aL9izE2kJwFK8NNghz/lfRTzWto78NaItDr1ipJQnm5ssyb57YFz7gamnwP\+1zcbXUlccfizbHsuyoYJ5Bqc0nFoprrafMdDHjEclD\ imharvol@imharvol-PC \ # Changeme | |
| --image=ubuntu-2004-focal-v20210908 \ | |
| --image-project=ubuntu-os-cloud \ | |
| --boot-disk-size=32GB \ |
| <html> | |
| <head> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js"></script> | |
| <style> | |
| html, body{ | |
| height: 100%; | |
| width: 100%; | |
| } | |
| #video{ | |
| height: 300px; |
A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.
| Name | Stars | Last Commit | Description |
|---|---|---|---|
| three.js | ![GitHub |
| # Upload | |
| rsync -av -e "ssh -A JUMP_HOST ssh" FILE_TO_SEND DEST_HOST:/home/gareth/ | |
| # Download | |
| rsync -av -e "ssh -A JUMP_HOST ssh" DEST_HOST:~/FILE_TO_DOWNLOAD ~/Downloads/ |
| #include <stdlib.h> | |
| #include <stdio.h> | |
| #include "list.h" | |
| typedef struct episode { | |
| int epid; | |
| struct list_head list; | |
| } episode_t; |
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |