8bitgentleman

import requests
import json
import pprint

GRAPH_NAME = "GRAPH"
API_TOKEN_READ = "TOKEN"
API_TOKEN_WRITE = 'TOKEN'

BASE_URL = "https://api.roamresearch.com"
ENDPOINT_q = f"/api/graph/{GRAPH_NAME}/q"

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.

spenserhale

# Adjust the following variables as necessary
REMOTE=origin
BRANCH=$(git rev-parse --abbrev-ref HEAD)
BATCH_SIZE=250

# check if the branch exists on the remote
if git show-ref --quiet --verify refs/remotes/$REMOTE/$BRANCH; then
    # if so, only push the commits that are not on the remote already
    range=$REMOTE/$BRANCH..HEAD
else

lucasmenares

This worked for me on M1 Pro 2021 with MacOS Ventura, original method was for Big Sur but I changed it using a different type of domain block since the old method doesn't work anymore:

First of all, if you want to trigger the notification you can use this command: sudo profiles show -type enrollment

Now we will start. First block your Mac from reaching the domain iprofiles.apple.com. For this you can use your hosts file like:

echo "0.0.0.0 iprofiles.apple.com" | sudo tee -a /etc/hosts

or blocking them from your firewall.

tombarys

;; Instructions for including the Clojure script (this) into your Roam can be found in my article 
;; here: https://lifehacky.net/how-to-list-namespaces-and-find-more-in-roam-research-5c25d9f24556
;; Search for section "How to make it work in your Roam?" and think of "better-search" as of "children-block-count"

(ns reddit.8-7-2022-reagent
  (:require [roam.datascript :as rd]
            [reagent.core :as r]
            [roam.datascript.reactive :as rdr]))

(defn show-num [uid]

dbieber

function sleep(ms) {
  return new Promise(resolve => setTimeout(resolve, ms));
}

function getPage(page) {
  // returns the uid of a specific page in your graph.
  // _page_: the title of the page.
  let results = window.roamAlphaAPI.q(`
    [:find ?uid
     :in $ ?title

dbieber

"""Automatic distraction detection. Work in progress.

Usage:
python detect.py main
"""
import fire
import subprocess

import plyvel
import re

thesved

Copy this to roam/js page, including the "{{[[roam/js]]}}" node:

- {{[[roam/js]]}}
    - ```javascript
/*
 * Roam template PoC by @ViktorTabori
 * 0.1alpha
 *
 * How to install it:
 *  - go to `roam/js` page`

Sandy4321

import numpy as np
import pandas as pd
from math import e

class Node:
    
    '''
    A node object that is recursivly called within itslef to construct a regression tree. Based on Tianqi Chen's XGBoost 
    the internal gain used to find the optimal split value uses both the gradient and hessian. Also a weighted quantlie sketch 
    and optimal leaf values all follow Chen's description in "XGBoost: A Scalable Tree Boosting System" the only thing not 

kadereub

# Load relevant libraries
import numpy as np
import numba as nb
import matplotlib.pyplot as plt

# Goal is to implement a numba compatible polyfit (note does not include error handling)

# Define Functions Using Numba
# Idea here is to solve ax = b, using least squares, where a represents our coefficients e.g. x**2, x, constants
@nb.njit