ZaxR

These instructions are to create a local, named Docker volume that stores authenticated Google service account credentials, for mounting to local Docker containers. This setup should only be required once, as the volume persists even after connected containers are stopped/removed.

TREAT THIS VOLUME AS CREDENTIALS. The volume stores sensitive information and should never leave your local machine.

Steps

1. Create the service account credentials file to authenticate google services.
   This file should be saved in ~/.config/gcloud/ on Mac/Linux,

ryuheechul

How Nix works

Nix is a purely functional package manager

/nix folder in my dotfiles repo

this is how I utilize nix to have better management of initial setup in terms of both logically and performantely better

How I package Docker image using Nix

My first attempt to package with Nix for a Docker image with Dockerfile

From Homebrew to Home Manager

b01

#!/bin/sh

# Copyright 2023 Khalifah K. Shabazz
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the “Software”),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:

datakurre

# Generated by pip2nix 0.8.0.dev1
# See https://github.com/nix-community/pip2nix

{ pkgs, fetchurl, fetchgit, fetchhg }:

self: super: {
  "Babel" = super.buildPythonPackage rec {
    pname = "Babel";
    version = "2.9.0";
    src = fetchurl {

ollieatkinson

import Darwin
import Foundation
import UIKit

// https://github.com/xybp888/iOS-SDKs/blob/master/iPhoneOS17.1.sdk/System/Library/PrivateFrameworks/CoreSVG.framework/CoreSVG.tbd
// https://developer.limneos.net/index.php?ios=17.1&framework=UIKitCore.framework&header=UIImage.h

@objc
class CGSVGDocument: NSObject { }

jmatsushita

###
### [2023-06-19] UPDATE: Just tried to use my instructions again on a fresh install and it failed in a number of places. 
###.   Not sure if I'll update this gist (though I realise it seems to still have some traffic), but here's a list of 
###.   things to watch out for:
###      - Check out the `nix-darwin` instructions, as they have changed.
###      - There's a home manager gotcha https://github.com/nix-community/home-manager/issues/4026
###

# I found some good resources but they seem to do a bit too much (maybe from a time when there were more bugs).
# So here's a minimal Gist which worked for me as an install on a new M1 Pro.

moyix

#!/bin/bash

gdb -p "$1" -batch -ex 'set {short}$rip = 0x050f' -ex 'set $rax=231' -ex 'set $rdi=0' -ex 'cont'

bsag

These files illustrate the way that I have set up Nix and Home Manager for standalone use on macOS on both an Intel and Apple Silicon machine, in case the examples are useful to anyone. Some of the configuration is separated out into separate files in configs/ which get imported in home.nix. Some of my existing dotfiles are placed in dotfiles/ and then symlinked in by Nix to the location that that the system expects to find them.

It is a work in progress so currently I am handling installation of R separately.

ksexton

# I found some good resources but they seem to do a bit too much (maybe from a time when there were more bugs).
# So here's a minimal Gist which worked for me as an install on a new M1 Pro.
# Inspired by https://github.com/malob/nixpkgs I highly recommend looking at malob's repo for a more thorough configuration
#
# Some people are coming directly to this Gist from search results and not the original post[1]. If that sounds like you, you should also know there is a video[2] that accompanies this.
#
# [1] https://discourse.nixos.org/t/simple-workable-config-for-m1-macbook-pro-monterey-12-0-1-with-nix-flakes-nix-darwin-and-home-manager/16834
# [2] https://www.youtube.com/watch?v=KJgN0lnA5mk
#
# Let's get started

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.