karpathy

"""
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)

karpathy

LLM Wiki

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.

The core idea

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.

madhurimarawat

📌 GATE Resources - CSE & Data Science

I have compiled all the resources that helped me in my GATE preparation, and I hope they help you too! 🚀

chaudharyachint08

Syllabus Link

Probability and Statistics (with Counting/Combinatorics)

• Mathematics (Class 11 & 12) - NCERT Relevant Chapters
  • Class 11 - Ch 1. Sets
  • Class 11 - Ch 2. Relations and Functions
  • Class 12 - Ch 1. Relations and Functions
  • Class 11 - Ch 6. Permutations and Combinations

conradcaffier03

GLM-5.2 Free Setup Guide

GLM-5.2 is Z.ai's open-weights (MIT) flagship — 744B-MoE, a 1M-token context, and benchmarks within ~1 point of Claude Opus 4.8 on FrontierSWE. Here's how to actually put it to work, starting with the routes that cost nothing and need no credit card.

---

1. Free, zero setup — just chat

k16shikano

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。

認知リズムを生むための日本語ライティング規範

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。

WitherOrNot

Notes

These are very disorganized because I wrote these as I reversed various bits and pieces. If I'm wrong about something, please let me know so I can forget to update this.

Logging

For me this was the Achilles' heel, Crackproof creates a debug log if a certain folder in %temp% is present. The folder name is 12 hex characters long, and different between executables. The easiest way to find it is to break on/hook CreateFileW.

Once you create it, any Crackproofed modules will spit out logs as they unpack. Lines contain status codes, indicating roughly what the unpacker is doing at a given time (see below). Lines with additional debug information are also included, sometimes they can be very handy.

ozdemirburak

[
  {
    "id": 1,
    "name": "Adana",
    "latitude": "37.0000",
    "longitude": "35.3213",
    "population": 2183167,
    "region": "Akdeniz"
  },
  {

imneme

#ifndef SPLITMIX_HPP_INCLUDED
#define SPLITMIX_HPP_INCLUDED 1

/*
 * A C++ implementation of SplitMix
 *   Original design by Guy L. Steele, Jr., Doug Lea and Christine H. Flood
 *   Described in _Fast splittable pseudorandom number generators_
 *       http://dx.doi.org/10.1145/2714064.2660195 and implemented in
 *       Java 8 as SplittableRandom
 *   Based on code from the original paper, with revisions based on changes

larsenv

import json
import requests
import subprocess

stations = {}

stations["Alabama Public Television"] = "WBIQ"
stations["Alaska Public Media"] = "KAKM"
stations["Arizona Public Media"] = "KUAT"
stations["Arkansas PBS"] = "KETS"