| // ==UserScript== | |
| // @name Fix Twitter | |
| // @namespace https://gist.github.com/rcombs/ | |
| // @version 0.1 | |
| // @description stop Twitter from being a piece of ѕһіt | |
| // @author Rodger Combs | |
| // @match https://twitter.com/* | |
| // @grant GM_addStyle | |
| // @downloadURL https://gist.github.com/rcombs/dd041d75357107ef7e2b26ba077a9612/raw/fix-twitter.user.js | |
| // ==/UserScript== |
The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.
The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.
| #include <windows.h> | |
| #include "extern/png/png.h" | |
| #include <stdio.h> | |
| BOOL SaveToFilePng(HBITMAP hBitmap, LPCSTR lpszFileName) | |
| { | |
| BITMAP Bitmap; | |
| GetObject(hBitmap, sizeof(Bitmap), (LPSTR)&Bitmap); | |
| unsigned int bitmap_bytes_per_pixel = 4; | |
| unsigned int bitmap_scanline_size = (((Bitmap.bmWidth * bitmap_bytes_per_pixel) + (4 - 1)) & ~(4 - 1)); |
| //quicklog.h | |
| //include it, and just loginfo("hello, %s", "world"); | |
| //MIT licence | |
| #include <stdio.h> | |
| #include <time.h> | |
| #ifndef QUICKLOG_H | |
| #define QUICKLOG_H |