- use admin console
Discover gists
A non-exhaustive list of WebGL frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are outdated/not maintained anymore.
- three.js: JavaScript 3D library
- stack.gl: an open software ecosystem for WebGL, built on top of browserify and npm.
- PixiJS: Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback
- Pex: Pex is a javascript 3d library / engine allowing for seamless development between Plask and WebGL in the browser.
- Babylon.js: a complete JavaScript framework for building 3D games with HTML 5 and WebGL
- Filament: Filament is a real-time physically based rendering engine for Android, iOS, Windows, Linux, macOS and WASM/WebGL
- ClayGL: A WebGL graphic library helping you to
| # TODO: variants of non-alphanumerics, greek letters, and others | |
| !"#$%&'()*+,-./⓿❶❷❸❹❺❻❼❽❾:;<=>?@🅐🅑🅒🅓🅔🅕🅖🅗🅘🅙🅚🅛🅜🅝🅞🅟🅠🅡🅢🅣🅤🅥🅦🅧🅨🅩[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ # BlackCircle | |
| !"#$%&'()*+,-./0123456789:;<=>?@🅰🅱🅲🅳🅴🅵🅶🅷🅸🅹🅺🅻🅼🅽🅾🅿🆀🆁🆂🆃🆄🆅🆆🆇🆈🆉[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ # BlackSquare | |
| !"#$%&'()*+,-./𝟎𝟏𝟐𝟑𝟒𝟓𝟔𝟕𝟖𝟗:;<=>?@𝐀𝐁𝐂𝐃𝐄𝐅𝐆𝐇𝐈𝐉𝐊𝐋𝐌𝐍𝐎𝐏𝐐𝐑𝐒𝐓𝐔𝐕𝐖𝐗𝐘𝐙[\]^_`𝐚𝐛𝐜𝐝𝐞𝐟𝐠𝐡𝐢𝐣𝐤𝐥𝐦𝐧𝐨𝐩𝐪𝐫𝐬𝐭𝐮𝐯𝐰𝐱𝐲𝐳{|}~ # Bold | |
| !"#$%&'()*+,-./0123456789:;<=>?@𝕬𝕭𝕮𝕯𝕰𝕱𝕲𝕳𝕴𝕵𝕶𝕷𝕸𝕹𝕺𝕻𝕼𝕽𝕾𝕿𝖀𝖁𝖂𝖃𝖄𝖅[\]^_`𝖆𝖇𝖈𝖉𝖊𝖋𝖌𝖍𝖎𝖏𝖐𝖑𝖒𝖓𝖔𝖕𝖖𝖗𝖘𝖙𝖚𝖛𝖜𝖝𝖞𝖟{|}~ # BoldFraktur |
| -- ===================================================================== | |
| -- VIRTUAL PUPPINI BRIDGE - UNIFIED STAR SCHEMA (USS) | |
| -- Schema: uss_1 | |
| -- Purpose: Create a unified fact table combining all business processes | |
| -- (sales, purchases, shipments, returns) with conformed dimensions | |
| -- Author: Ralfo Becher, OrionBelt | |
| -- Date: 2025 | |
| -- ===================================================================== | |
| CREATE OR REPLACE VIEW uss_1.v_unified_star_schema AS |
See Boris’s post: these tips come from the Claude Code team, and there’s no single “right” setup—experiment and keep what works.
- Run 3–5 Claude sessions at once, one per task.
- The team’s preferred approach is
git worktreeso each session has its own isolated working directory. - Some folks also keep a dedicated “analysis” worktree for log reading / BigQuery-style investigation.
| """ | |
| 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 |
| name | cognitive-rhythm-writing |
|---|---|
| description | 説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替(観察→逡巡→断定→再観察)と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。 |
密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。 この規範は、読者の認知モード(観察する、迷う、確信する、確かめ直す)を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。
Export all your ChatGPT conversations as JSON + Markdown + HTML + ZIP. Works with ChatGPT Business/Team/Enterprise accounts (including SSO/Okta).
- JSON — Raw conversation data from the API
- Markdown — Clean text with headers per message, relative links to downloaded files
- HTML — ChatGPT-style conversation viewer with sidebar navigation, syntax-highlighted code blocks, and embedded images
Replace original BIOS/UEFI with open-source alternative coreboot and strip down Intel ME.
This is my very first experience with SPI chips and external flashing 🥳
These are my personal notes, just in case I need them again…
- Notebook: Lenovo ThinkPad T440p (20AW; without dGPU / only iGPU)
- Top chip: Winbond 25Q32FVSIQ (4 MiB; accessible through "big door")