Ghi chú cách dùng IBus Bamboo để gõ Tiếng Việt mà không bị lỗi gạch chân như các bộ gõ khác.
sudo add-apt-repository ppa:bamboo-engine/ibus-bamboo
sudo apt-get update
sudo apt-get install ibus ibus-bamboo --install-recommendsDiscover gists
lelinhtinh
/ type-vietnamese-on-ubuntu.md
Last active
August 31, 2026 03:42
Gõ Tiếng Việt trong Ubuntu
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| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
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| (async () => { | |
| 'use strict'; | |
| // ============================================================ | |
| // codex-quota-compass.js（发布版） | |
| // ============================================================ | |
| // 用法：在 https://chatgpt.com/codex/cloud/settings/analytics#usage | |
| // 或任意 chatgpt.com 页面打开 DevTools Console，粘贴运行。 | |
| // | |
| // 安全： |
Talha-Altair
/ linux_commands.txt
Last active
August 31, 2026 03:56
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| ls - The most frequently used command in Linux to list directories | |
| pwd - Print working directory command in Linux | |
| cd - Linux command to navigate through directories | |
| mkdir - Command used to create directories in Linux | |
| mv - Move or rename files in Linux | |
| cp - Similar usage as mv but for copying files in Linux | |
| rm - Delete files or directories | |
| touch - Create blank/empty files | |
| ln - Create symbolic links (shortcuts) to other files | |
| cat - Display file contents on the terminal |
lassoan
/ FillHolesInSegments.py
Last active
August 31, 2026 03:14
Fills all internal holes inside segments. For example, fills in empty regions inside vertebral bodies segmented with Grow from seeds with intensity-based masking.
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| segmentationNode = slicer.mrmlScene.GetFirstNodeByClass('vtkMRMLSegmentationNode') | |
| # set value to the size of the larges cracks in the segment surfaces | |
| maximumHoleSizeMm = 2.0 | |
| ############ | |
| masterVolumeNode = segmentationNode.GetNodeReference(segmentationNode.GetReferenceImageGeometryReferenceRole()) | |
| # Create segment editor to get access to effects | |
| segmentEditorWidget = slicer.qMRMLSegmentEditorWidget() | |
| # To show segment editor widget (useful for debugging): |
This guide walks through best practices of creating a gpg key and signing subkey for the purposes of signing git commits and some brief GitHub instructions.
First, create the primary key with the following config parameters: Ed25519, certify-only, 5-year expiry This primary key is only used to certify/renew subkeys; this key will be moved off the workstation and secured)
Chenx221
/ vs_26_22_19_17_dl.md
Last active
August 31, 2026 04:58
Visual Studio 2026/2022/2019/2017 Web Installer Direct download link
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| import random | |
| import re | |
| from urllib.parse import urlparse, parse_qs | |
| from Crypto.Cipher import AES | |
| import requests | |
| # see https://github.com/douniwan5788/zte_modem_tools/issues/20#issuecomment-2849666205 | |
| from rss import create_payload_array, verify_do_check_client, parse_mac | |
| ROOT = "http://192.168.1.1" |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.