rawsh

{
  "name": "nodelist",
  "version": "1.0.0",
  "description": "Mailing lists for DevPy.me",
  "main": "main.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1"
  },
  "author": "Robert Washbourne",
  "license": "ISC",

mehemmelbachir

from django.contrib.auth import get_user_model
from firebase_admin import credentials, auth
from firebase_admin.auth import UserRecord, AuthError
import firebase_admin
from django.conf import settings
import logging

logger = logging.getLogger(__name__)

User = get_user_model()

smartexpert

Create an empty file in Windows

This is to emulat touch file.extention on Mac

copy NUL filename.txt

Change conda auto activate base environment

conda config --set auto_activate_base false

Create new python3 virtual environment

python3 -m venv env

ines

"""
Example of a Streamlit app for an interactive Prodigy dataset viewer that also lets you
run simple training experiments for NER and text classification.

Requires the Prodigy annotation tool to be installed: https://prodi.gy
See here for details on Streamlit: https://streamlit.io.
"""
import streamlit as st
from prodigy.components.db import connect
from prodigy.models.ner import EntityRecognizer, merge_spans, guess_batch_size

tvst

import streamlit.ReportThread as ReportThread
from streamlit.server.Server import Server


def get_session_id():
    # Hack to get the session object from Streamlit.

    ctx = ReportThread.get_report_ctx()

    this_session = None

containeroo-gists

version: '3'

services:
  traefik:
    image: traefik:v2.0
    container_name: traefik
    restart: unless-stopped
    security_opt:
      - no-new-privileges:true
    networks:

bendichter

# MIT LICENSE


import datetime
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import numpy as np
import dash_core_components as dcc
import dash_html_components as html
import dash

vrslev

import os

import arel
from fastapi import FastAPI, Request
from fastapi.templating import Jinja2Templates

app = FastAPI()
templates = Jinja2Templates("templates")

if _debug := os.getenv("DEBUG"):

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

EcZachly

-- first query all the users 
WITH offsets AS (SELECT a.*,
                        EXTRACT(hour FROM ptn.utc_offset) AS utc_offset
                 FROM bootcamp.attendees a
                          JOIN pg_timezone_names ptn ON a.timezone = ptn.name
                 WHERE a.bootcamp_version = 3
                   AND a.timezone IS NOT NULL
                   AND a.content_delivery = 'Live'::text
                  ),
-- then aggregate the users by track and offset, we want matching timezones to fill up first