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@shahil020668
shahil020668 / leetcode_2_add_two_numbers.cpp
Created October 12, 2026 17:36
LeetCode 2 - Add Two Numbers | C++ Solution
/**
* Definition for singly-linked list.
* struct ListNode {
* int val;
* ListNode *next;
* ListNode() : val(0), next(nullptr) {}
* ListNode(int x) : val(x), next(nullptr) {}
* ListNode(int x, ListNode *next) : val(x), next(next) {}
* };
*/
@geohot
geohot / syllabus.md
Last active October 13, 2026 03:05
Compilers for Machine Learning

Compilers for Machine Learning

A hands-on one semester course where students build their own compiler from scratch, starting from elementwise programs and ending with training SOTA LLMs on GPUs. This course aggressively builds on the previous week, and is an exercise in slop management. If you let any slop in early, it will compound and you will not finish the class.

Course description: This course covers the design and implementation of a modern machine learning compiler, and examines the interaction between IR design, hardware capabilities, and the structure of machine learning programs. Topics covered include term rewriting, code generation, movement operators, kernel fusion, memory hierarchies, GPU architecture, automatic differentiation, and flash attention. It is a project course, providing experience with performance-oriented programming, managing a codebase that grows all semester, and working in 1 or 2 person teams, culminating in a compiler capable of training modern LLMs.

Prerequisites: This c

@karpathy
karpathy / microgpt.py
Last active October 13, 2026 03:04
microgpt
"""
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

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.

@amit213
amit213 / activate-office-windows-mac.md
Created January 27, 2025 04:14
Microsoft Office Active or Windows Activation | Microsoft Office Activate for Mac - Free Guide

โœ… Activate Microsoft Office or Windows

๐Ÿ’  Windows User:

  1. Download OS & Office Link: https://files.rg-adguard.net/version/5f2ad9c6-e111-76e8-06d1-56d44c136bae
  2. Open PowerShell (Not CMD). To do that, right-click on the Windows start menu and select PowerShell or Terminal.
  3. Copy and paste the code below and press enter
irm https://get.activated.win | iex
  1. You will see the activation options.
@frozenpandaman
frozenpandaman / widevine-decryption.md
Last active October 13, 2026 02:49
download videos protected with widevine DRM