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| # ----------------------------------------------------------------------------- | |
| # AI-powered Git Commit Function | |
| # Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It: | |
| # 1) gets the current staged changed diff | |
| # 2) sends them to an LLM to write the git commit message | |
| # 3) allows you to easily accept, edit, regenerate, cancel | |
| # But - just read and edit the code however you like | |
| # the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/ | |
| gcm() { |
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| #!/usr/bin/env python | |
| import math | |
| import matplotlib.pyplot as plt | |
| import torch | |
| import torch.nn as nn | |
| from sklearn.datasets import make_moons | |
| from torch import Tensor | |
| from tqdm import tqdm |
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| """ | |
| stable diffusion dreaming | |
| creates hypnotic moving videos by smoothly walking randomly through the sample space | |
| example way to run this script: | |
| $ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry | |
| to stitch together the images, e.g.: | |
| $ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4 |
See the official Differentiable Programming Manifesto instead.
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| # Old-school GPG config was taken from the following docs. I'm preserving these | |
| # links here just in case I need to configure an old version of mutt & gnupg in | |
| # the future without gpgme. | |
| # * /usr/share/docs/mutt/gpg.rc | |
| # * http://codesorcery.net/old/mutt/mutt-gnupg-howto | |
| # * http://dev.mutt.org/trac/wiki/MuttGuide/UseGPG | |
| # | |
| # Mutt now has solid support for GPGME, which not only makes config much | |
| # simpler and eliminates the need to fork gpg processes & parse their output - | |
| # it also makes working with gpg-agent, kwallet, gnome-keyring etc. a doddle |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
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| #include <cuda_runtime.h> | |
| #include <cstring> | |
| #include <cstdlib> | |
| #include <vector> | |
| #include <string> | |
| #include <iostream> | |
| #include <stdio.h> | |
| #include "caffe/caffe.hpp" |
This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.
The script is here:
#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"
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