baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

artizirk

NB: This document describles a 'Old-School' way of using Yubikey with SSH

Modern OpenSSH has native support for FIDO Authentication. Its much simpler and should also be more stable with less moving parts. OpenSSH also now has support for signing arbitary files witch can be used as replacement of gnupg. Git also supports signing commits/tags with ssh keys.

Pros of FIDO

• Simpler stack / less moving parts
• Works directly with ssh, ssh-add and ssh-keygen on most computers
• Simpler
• Private key can never leave the FIDO device

Cons of FIDO

Axel-Erfurt

#EXTM3U
#EXTINF:-1,ARD
https://daserste-live.ard-mcdn.de/daserste/live/hls/de/master.m3u8
#EXTINF:-1,ARD ONE
https://mcdn-one.ard.de/ardone/hls/master.m3u8
#EXTINF:-1,ARD Alpha
https://mcdn.br.de/br/fs/ard_alpha/hls/de/master.m3u8
#EXTINF:-1,ARD Tagesschau
https://tagesschau.akamaized.net/hls/live/2020115/tagesschau/tagesschau_1/master.m3u8
#EXTINF:-1,ZDF

milnak

Garlic OS Tips (Windows-based)

GarlicOS Cookbook

Follow these instructions for an easy way to get up and going quickly! These are complete instructions, and will be the easiest way to get started on a new RG35XX.

Set up SD Card

Get a high quality SD (e.g. SanDisk Extreme) card, 128GB or larger, 256GB is recommended. Don't skimp here, they're cheap, and don't use the card that comes with the RG35XX as it's crap.

veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

rauchg

#!/usr/bin/env bash
function p() {
	jq -n \
		--arg content "$*" \
		'{
      "model": "pplx-7b-online",
      "messages": [
        {
          "role": "system",
          "content": "Be precise and concise."

algal

#!/usr/bin/env bash
# based off of https://gist.github.com/rauchg/c5f0b1dc245ad95c593de8336aa382ac?permalink_comment_id=4842642#gistcomment-4842642
if [ "$#" -eq 0 ]; then
    echo "Usage: $(basename $0) promt_to_send_to_perplexity"
    echo ""
    echo "  Requirements: PERPLEXITY_API, defined; jq and curl, installed; bash, version 3 or higher."
    exit 1
fi

function p() {

virattt

sayakpaul

from datasets import Dataset, Features
from datasets import Image as ImageFeature
from datasets import Value
import pandas as pd 
import os

# CSV comes from the notebook above.
df = pd.read_csv("coco_30k_randomly_sampled_2014_val.csv")
root_path = "val2014"

bjsi

from typing import List, Optional, TypedDict
import modal
from modal import gpu, build, enter, exit, method


class Document(TypedDict):
    content: str
    metadata: dict