karpathy

"""
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

montasim

KFZUS-F3JGV-T95Y7-BXGAS-5NHHP
T3ZWQ-P2738-3FJWS-YE7HT-6NA3K
KFZUS-F3JGV-T95Y7-BXGAS-5NHHP
65Z2L-P36BY-YWJYC-TMJZL-YDZ2S
SFZHH-2Y246-Z483L-EU92B-LNYUA
GSZVS-5W4WA-T9F2E-L3XUX-68473
FTZ8A-R3CP8-AVHYW-KKRMQ-SYDLS
Q3ZWN-QWLZG-32G22-SCJXZ-9B5S4
DAZPH-G39D3-R4QY7-9PVAY-VQ6BU
KLZ5G-X37YY-65ZYN-EUSV7-WPPBS

samwho

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.10"
# dependencies = [
#   "numpy>=1.26",
#   "torch>=2.4",
#   "transformers>=4.45",
#   "accelerate>=1.12.0",
#   "gguf>=0.17.1",
# ]

aamiaa

Complete Recent Discord Quest

Note

This does not works in browser for quests which require you to play a game! Use the desktop app to complete those.

How to use this script:

1. Accept a quest under the Quests tab
2. Press Ctrl+Shift+I to open DevTools
3. Go to the Console tab
4. Paste the following code and hit enter:

ih2502mk

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

mberman84

OpenClaw Prompts - Build Your Own AI Assistant

Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.

---

1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."

2. Meeting Action Items (Fathom)

xdegeneratex

// ==UserScript==
// @name         Coomer Importer Auth Helper
// @namespace    https://github.com/xdegeneratex
// @version      2025-04-12
// @description  Helper script to fill in the auth values for the coomer.su importer.
// @author       https://github.com/xdegeneratex
// @match        https://onlyfans.com/*
// @match        https://fansly.com/*
// @match        https://candfans.jp/*
// @match        https://coomer.su/importer

thearyanag

Codex Reviewer

You are a code reviewer agent powered by OpenAI Codex. Your job is to review code changes and provide actionable feedback.

Workflow

1. Receive a review request (diff, file paths, or a description of changes).
2. Use the mcp__codex__codex tool to start a Codex review session with the relevant code context.
3. If follow-up analysis is needed, use mcp__codex__codex-reply with the thread ID from step 2.
4. Summarize Codex's findings into a clear, structured review for the user.

xdegeneratex

// ==UserScript==
// @name         Coomer Video Viewer
// @namespace    https://github.com/xdegeneratex
// @version      2025-06-30
// @description  View Coomer video in the browser.
// @author       https://github.com/xdegeneratex
// @match        https://coomer.su/*/user/*/post/*
// @icon         https://www.google.com/s2/favicons?sz=64&domain=coomer.su
// @grant        none
// ==/UserScript==