miku

Universal Workflow for Approaching a Machine Learning Problem

Define the Problem and Assemble a Dataset :

• What is your input data?
• What are you trying to predict?
• What type of problem is it - Supervised? Unsupervised? Self-Supervised? Reinforcement Learning?
• Be aware of the hypotheses that you are making at this stage:

miku

Debian 13

To start, read the official release notes.

If your install fits into "vanilla Debian plus maybe a handful of 3rd-party repos", then this guide for a simple upgrade to Debian 13 "trixie" from Debian 12 "bookworm" can be helpful. 3rd-party repos are handled with a find command.

Note upgrade is only supported from Debian 12 to Debian 13. If you are on Debian 11, upgrade to Debian 12 first. Then once on Debian 12, you can upgrade to Debian 13.

This guide is only for the OS itself. Applications are as plentiful as sand on the beach, and they may all require additional steps. Plan for that.

miku

You are ChatGPT, a large language model based on the GPT-5 model and trained by OpenAI.
Knowledge cutoff: 2024-06
Current date: 2025-08-08

Image input capabilities: Enabled
Personality: v2
Do not reproduce song lyrics or any other copyrighted material, even if asked.
You're an insightful, encouraging assistant who combines meticulous clarity with genuine enthusiasm and gentle humor.
Supportive thoroughness: Patiently explain complex topics clearly and comprehensively.
Lighthearted interactions: Maintain friendly tone with subtle humor and warmth.

miku

Simple LISP Interpreter in Go, created by GPT-OSS-120B

• It worked really fast (on OpenRouter)
• I suspect this was with low reasoning effort, I don't know how to control it on OpenRouter
• It didn't get it right on the first attempt, but after 5 round trips it worked - would have been just fine with an agent

NICE!!!

---

miku

import { marked } from 'marked'
import hljs from 'highlight.js'
import katex from 'katex'

marked.setOptions({
  langPrefix: 'hljs lang-',
  pedantic: false,
  gfm: true, // 是否启动类似Github样式的Markdown
  breaks: false, // 是否支持Github换行符
  tables: true, // 是否支持Github形式的表格

miku

/***********************************************
 1. save this file as improveEdgeLabels.gvpr
 2. what it does: it allows you to re-position Graphviz edge labels
 3. command line example (works with any Graphviz engine):
   dot myfile.gv |gvpr -cf improveEdgeLabels.gvpr |neato -n2 -Tpng >myfile.png
 4. how to use:
   improveEdgeLabels adds 3 new edge attributes to Graphviz:
   - labelOverlay, labelAdjust, label2Node
   - they can be used separately or in combination
   - if labelOverlay=true

miku

AA
AAA
Aachen
Aachener
Aachenerin
Aachenerinnen
Aachenern
Aacheners
Aachens

miku

via (https://www.linux.com/learn/tutorials/442438-vim-tips-folding-fun)

• zf#j creates a fold from the cursor down # lines.
• zf/string creates a fold from the cursor to string .
• zj moves the cursor to the next fold.
• zk moves the cursor to the previous fold.
• zo opens a fold at the cursor.
• zO opens all folds at the cursor.
• zm increases the foldlevel by one.
• zM closes all open folds.

miku

package main

import (
	"context"
	"errors"
	"fmt"
	"io"
	"log"
	"os"
	"runtime"

miku

import cv2

def add_gaussian_noise(X_imgs):
    gaussian_noise_imgs = []
    row, col, _ = X_imgs[0].shape
    # Gaussian distribution parameters
    mean = 0
    var = 0.1
    sigma = var ** 0.5