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@Klerith
Klerith / instalaciones.md
Last active August 2, 2026 20:23
Instalaciones recomendadas - Curso de Angular de cero a experto
@rahulkhatri137
rahulkhatri137 / cocMapping.json
Created July 14, 2026 18:27 — forked from pghant/cocMapping.json
Clash of Clans JSON Export Mapping
[
{"name":"Action Figure","dataId":90000048},
{"name":"Air Bomb","dataId":12000005},
{"name":"Air Bombs","dataId":1000054},
{"name":"Air Defense","dataId":1000012},
{"name":"Air Sweeper","dataId":1000028},
{"name":"Alchemist","dataId":null},
{"name":"Angry Jelly","dataId":73000011},
{"name":"Apprentice Warden","dataId":4000097},
{"name":"Archer Puppet","dataId":90000002},
@lokafinnsw
lokafinnsw / README.md
Created December 26, 2025 04:04
NeMo ASR + Speaker Diarization Setup (Parakeet-TDT v3, ~80x realtime). Includes Dockerfile, YAML config, and Python example with word-level timestamps for subtitle generation.

NeMo Fast Diarization Setup

Production-ready ASR + Speaker Diarization using NVIDIA NeMo.

Why is this fast?

  1. Model Architecture: Parakeet-TDT uses FastConformer (not Whisper's attention-heavy encoder)
  2. Native Pipelines: The YAML config triggers optimized C++/CUDA code for VAD and clustering
  3. TitaNet Embeddings: Much faster than x-vector or ECAPA-TDNN for speaker separation
  4. BF16 Inference: ~30% VRAM savings on Ada Lovelace GPUs (RTX 4000/4090)
@montasim
montasim / Proxifier v4 Registration Keys.txt
Last active August 2, 2026 20:16
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
@andrisgauracs
andrisgauracs / build_and_flash.sh
Created July 31, 2026 02:21
One Shot Build Script For Running 28M AI Model On ESP32-S3
#!/usr/bin/env bash
# esp32-ai: clone, train, export, build, and flash — end to end
# Reproduces github.com/slvDev/esp32-ai from a bare board.
# Requires: ESP32-S3 N16R8 (16MB flash, 8MB PSRAM).
#
# Usage:
# ./build_and_flash.sh # full run: data prep, train, export, build, flash
# ./build_and_flash.sh --skip-train # reuse an existing firmware/model/model.bin, just build + flash
set -euo pipefail
@andrisgauracs
andrisgauracs / run_prompt.sh
Created July 31, 2026 02:57
Test a custom prompt against an already-trained, already-flashed ESP32-S3 model
#!/usr/bin/env bash
# esp32-ai: test a custom prompt against an already-trained, already-flashed model.
# Does NOT retrain and does NOT rewrite the 15MB model partition.
#
# Usage:
# ./run_custom_prompt.sh "Once there was a robot"
set -euo pipefail
if [ "$#" -lt 1 ]; then
echo "Usage: $0 \"Your custom prompt\""
@cfreshman
cfreshman / wordle-answers-alphabetical.txt
Last active August 2, 2026 19:56
Original Wordle answers from source code in alphabetical order. And if you write a solver, here's a leaderboard! https://freshman.dev/wordle/leaderboard Additional allowed guesses: https://gist.github.com/cfreshman/cdcdf777450c5b5301e439061d29694c
aback
abase
abate
abbey
abbot
abhor
abide
abled
abode
abort
@chrisvfritz
chrisvfritz / index.html
Created November 18, 2014 19:22
Simplest possible HTML template
<!doctype html>
<html>
<head>
<title>This is the title of the webpage!</title>
</head>
<body>
<p>This is an example paragraph. Anything in the <strong>body</strong> tag will appear on the page, just like this <strong>p</strong> tag and its contents.</p>
</body>
</html>
@karpathy
karpathy / llm-wiki.md
Created April 4, 2026 16:25
llm-wiki

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.

@Avaray
Avaray / anticrapity.ps1
Created June 11, 2026 14:19
https://www.reddit.com/r/google_antigravity/comments/1tiqpcv/antigravity_20_update_broke_my_electron_apps/
<#
.SYNOPSIS
Fixes Electron/Chromium apps (Discord, GitHub Desktop, etc.) silently crashing (not starting).
.DESCRIPTION
This script resolves an issue caused by the Antigravity 2.0 IDE update, which injects rogue
AppContainer SIDs into the %LOCALAPPDATA% folder permissions. These SIDs break the Chromium
sandbox, causing apps installed in this directory to crash immediately upon launch.
How it works: