karpathy

"""
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

didi1357

Kodi Standalone on Raspberry Pi OS Lite 64Bit Debian 12 Bookworm

This guide describes how to get Kodi running on Debian Bookworm based Raspberry Pi OS Lite 64Bit without having to run the full LXDE GUI of the desktop version.

It is based on this guide.

First, install kodi as usual with

apt install kodi

bnhf

Just thought I'd put together some detail on deploying Tailscale using Docker and Portainer. These bits-and-pieces are available elsewhere, but not together, so hopefully this will save someone a bit of time if you'd like to add Tailscale to an existing Docker install:

Here's my annotated recommended docker-compose, to use with Portainer-Stacks. Note that I'm not using a pre-made Auth Key. I started that way, but realized it was very easy to simply check the Portainer log for the tailscaled container once the stack is running. In that log you'll see the standard Auth link that you can use to authorize the container. This way you don't need to create a key in advance, or create a reusable key that introduces a security risk:

version: '3.9'
services:
  tailscale:
    image: tailscale/tailscale
    container_name: tailscaled

FlandreScarlets

"ChatGPT, please act as a supportive listener and provide empathetic responses while we discuss my thoughts and feelings."

"Assume the role of a virtual counselor, offering me guidance and encouragement as we talk about my personal challenges."

"Please take on the persona of a life coach, helping me explore my thoughts and emotions, and providing gentle guidance in our conversation."

"Adopt the role of a friendly advisor, offering compassionate and non-judgmental responses as we discuss various aspects of my life."

"ChatGPT, become a therapeutic conversation partner, providing a safe space for me to express my thoughts, feelings, and concerns, while offering supportive feedback."

tdpetrou

import pandas as pd
import numpy as np

from sklearn.base import BaseEstimator

class BasicTransformer(BaseEstimator):
    
    def __init__(self, cat_threshold=None, num_strategy='median', return_df=False):
        # store parameters as public attributes
        self.cat_threshold = cat_threshold

Yatoom

Thinkfan setup

Note: I configured this thinkfan setup for my old Thinkpad w520 on Ubuntu 17.10.

1. Install necessary programs

Install lm-sensors and thinkfan.

sudo apt-get install lm-sensors thinkfan

tlc

/* 11/27/2017 - Tweaked for a page redesign.
 * 1/6/2018 - Handle videos in book bundle.
 */
var pattern = /(MOBI|EPUB|PDF( ?\(H.\))?|CBZ)$/i;
var pattern2 = /(Download)$/;
var nodes = document.getElementsByTagName('a');
var downloadCmd = '';
for (i in nodes) {
    var a = nodes[i];
    if (a && a.text && pattern.test(a.text.trim())) {

muktupavels

/*
 * Copyright (C) 2017 Alberts Muktupāvels
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of

mosquito

Docker compose as a systemd unit

Create file /etc/systemd/system/docker-compose@.service. SystemD calling binaries using an absolute path. In my case is prefixed by /usr/local/bin, you should use paths specific for your environment.

[Unit]
Description=%i service with docker compose
PartOf=docker.service
After=docker.service

zilexa

/usr/bin/wget --header='Content-Type:application/json' --post-data='{"jsonrpc": "2.0", "method": "VideoLibrary.Scan", "id": "osmc", "params": {"directory":"'"$TR_TORRENT_DIR"'/"}}' "http://localhost:8080/jsonrpc"