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@testyforelimb
testyforelimb / Home-Renovation-Planner.md
Created August 30, 2026 23:46
Plan home renovations in your browser: material lists, cost comparisons, project notes, and time tracking for repair and remodel projects.

Renovation Ledger interface showing material planning, cost comparison, and project notes

Renovation Ledger

Planning workspace for material lists, cost comparisons, and project notes.

Renovation Ledger collects personal material lists, repair-scope comparisons, expected costs, and completed-project notes.

@edecoux
edecoux / Tensor Core GPU.md
Created April 22, 2023 04:15
Tensor Core GPU.md

[[PERFORMANCE_et+al_NvidiaH100TensorCoreGpu_2022]]

[[EXCEPTIONAL PERFORMANCE]]; [[SCALABILITY]]; [[AND SECURITY FOR THE DATA CENTER]]

Key concepts

#finding/#nvidia; #nvidia; #streaming_multiprocessor; #artificial_intelligence; #TFLOPS; #high_performance_computing; #speed_up; #general_purpose; #thermal_design_power; #_general; #gpu_computing

Quote

In this whitepaper we introduce the new NVIDIA H100 Tensor Core GPU, our next-generation, highest-performing data center GPU

@mzaman
mzaman / AgentRouter.md
Last active August 31, 2026 05:49
AgentRouter: The Definitive Developer Guide

AgentRouter: The Definitive Developer Guide

Unified LLM API Gateway · $200 Free Credits · Zero Subscription Lock-in

TL;DR — AgentRouter is a non-profit, OpenAI-compatible API gateway that aggregates Claude, GPT, Gemini, DeepSeek, and 30+ other models behind a single endpoint. New users get $200 in free credits via referral — no credit card required. Ideal for developers who want model flexibility without juggling five subscriptions.

👉 Claim Your $200 Free Credits → agentrouter.org/register?aff=DWBb


Table of Contents

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.

@DoubleGremlin181
DoubleGremlin181 / Common LeetCode Patterns.MD
Last active August 31, 2026 06:49
Coding Interview — Common LeetCode Patterns Cheat Sheet

Coding Interview — Common LeetCode Patterns Cheat Sheet

All 17 core coding interview patterns. Sorted by commonality × difficulty — most frequent and easiest patterns first, rarest and hardest at the bottom. For each: how to spot it, the core idea, a clean code example, and LeetCode practice problems.


1. Two Pointers

Frequency: ★★★★★ | Difficulty: Easy

Interactive Machine Learning

Taught by Brad Knox at the MIT Media Lab in 2014. Course website. Lecture and visiting speaker notes.

ls - The most frequently used command in Linux to list directories
pwd - Print working directory command in Linux
cd - Linux command to navigate through directories
mkdir - Command used to create directories in Linux
mv - Move or rename files in Linux
cp - Similar usage as mv but for copying files in Linux
rm - Delete files or directories
touch - Create blank/empty files
ln - Create symbolic links (shortcuts) to other files
cat - Display file contents on the terminal