wesinator

{
    "a": ["\ud835\udf70", "a", "\uff41", "\ud835\udc4e", "\ud835\uddee", "\ud835\udd52", "\ud835\udd86", "\ud835\udcea", "\ud835\ude8a", "\ud835\udfaa", "\u0430", "\u0251", "\u03b1", "\ud835\udd1e", "\ud835\udc82", "\ud835\ude22", "\ud835\udec2", "\u237a", "\ud835\udcb6", "\ud835\ude56", "\ud835\udf36", "\ud835\udefc", "\ud835\udc1a", "\ud835\uddba"],
    "A": ["\ud835\ude70", "A", "\ud835\udc34", "\u15c5", "\ud835\udc68", "\ud835\udea8", "\ud835\udd6c", "\ud835\udda0", "\u0410", "\u0391", "\ud835\udee2", "\ud835\udf56", "\ud835\udc9c", "\ud835\udf1c", "\ud81b\udf40", "\ud835\udcd0", "\ud835\udf90", "\uff21", "\ud835\uddd4", "\ud835\ude08", "\u13aa", "\ua4ee", "\ud835\udc00", "\ud835\udd04", "\ud835\udd38", "\ud800\udea0", "\ud835\ude3c"],
    "b": ["\ud835\udc4f", "\ud835\uddef", "b", "\u0184", "\ud835\udd53", "\ud835\udd87", "\u042c", "\ud835\udceb", "\ud835\ude8b", "\u13cf", "\u15af", "\ud835\udd1f", "\u1472", "\ud835\udc83", "\ud835\ude23", "\ud835\udcb7", "\ud835\ude57", "\ud835\udc1b", "\ud835\uddbb"]

ericviana

Unicode Character Look-Alikes

Original Letter	Look-Alike(s)
a	а ạ ą ä à á ą
c	с ƈ ċ
d	ԁ ɗ
e	е ẹ ė é è
g	ġ
h	һ

rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

coltonbh

GPU Support For Docker Swarm

Docker compose has nice support for GPUs, K8s has moved their cluster-wide GPU scheduler from experimental to stable status. Docker swarm has yet to support the device option used in docker compose so the mechanisms for supporting GPUs on swarm are a bit more open-ended.

Basic documentation

• NVIDIA container runtime for docker. The runtime is no longer required to run GPU support with the docker cli or compose; however, it appears necessary so that one can set Default Runtime: nvidia for swarm mode.
• docker compose GPU support
• Good GitHub Gist Reference for an overview on Swarm with GPUs. It is a bit dated, but has good links and conversation.
• [Miscellaneous Opt

tomlankhorst

Setting up a Docker Swarm with GPUs

Installing Docker

Official instructions.

Add yourself to the docker group to be able to run containers as non-root (see Post-install steps for Linux).

jspahrsummers

How to use asynchronous generators

The documentation 6.2.9.4. "Asynchronous generator-iterator methods" is phrased really ambiguously. To make matters worse, typing.AsyncGenerator is not specified fully correctly.

Here, I attempt to more clearly capture the actual interface contract, based on what I've read and observed. See also PEP 492 -- Coroutines with async and await syntax and PEP 525 -- Asynchronous Generators.

This might be useful to implement lower-level behaviors than you can with async for, like sending values into the generator function.

TSend = TypeVar('TSend', contravariant=True)

danilofreire

/**
 * A simple theme for reveal.js presentations, derived from serif.css 
 * It's in the spirit of the Metropolis theme for beamer https://github.com/matze/mtheme
 *
 * This theme is Copyright (C) 2016 Vince Hodges, http://sourdoughlabs.com - it is MIT licensed.
 */

@import url('https://fonts.googleapis.com/css?family=Fira+Sans');

.reveal a {

danisla

GPU Sharing on GKE DaemonSet

NOTE: This is not a Google supported product.

Example Usage

1. Create a GKE cluster with a GPU node pool:

gcloud container clusters create gpu-sharing-demo --zone us-central1-c

lpraat

import pyaudio
import numpy as np
import matplotlib.pyplot as plt

from scipy.fftpack import fft
import matplotlib.animation as animation


CHUNK = 1024  # signal is split into CHUNK number of frames
FORMAT = pyaudio.paInt16

JoeyBurzynski

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}