g023 g023
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| inspired by: | |
| https://www.reddit.com/r/ClaudeAI/comments/1mdyc60/comment/n6fgexd/ | |
| throw in | |
| .claude/agents/ | |
| put '.claude/agents/karen.yaml' inside your project folder, and then make karen judge your work by hinting in your prompts, because that's what subagent karen likes to do. |
karpathy
/ min-char-rnn.py
Last active
May 28, 2026 09:05
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |