rowe-morehouse

List of AI Writing Tools 20230402 | by Rowe Morehouse @rowemore

in random order:

• https://openai.com/
• https://chat.openai.com/ (ChatGPT)
• https://deepmind.github.io/dramatron/
• https://simbline.com/
• https://affpilot.com/
• https://www.sigmamail.ai/
• https://taplio.com/

dragosthealex

import requests
import json
import pandas as pd
import datetime


def get_from_nasdaq(ticker, date_from=None, date_to=None) -> pd.DataFrame:
    """Return historical daily data for ticker from NASDAQ
    
    Args:

ranaroussi

import requests

def get_premarket(ticker):
    """ 
    gets premarket prices from nasdaq
    
    usage:
    >> price, volume = get_premarket('spy')
    
    """

anshoomehra

yossisp

# Dockerfile for react.js app and nginx
# build environment
FROM node:8-alpine as builder
WORKDIR /usr/src/app
ENV PATH /usr/src/app/node_modules/.bin:$PATH
COPY package.json /usr/src/app/package.json
RUN npm install
COPY . /usr/src/app
RUN npm run build --loglevel verbose

valferon

#!/usr/bin/python3
import argparse
import logging
import subprocess
import os
import tempfile
from tempfile import mkstemp

import configparser
import gzip

ricjcosme

DUMP
// pod-name         name of the postgres pod
// postgres-user    database user that is able to access the database
// database-name    name of the database
kubectl exec [pod-name] -- bash -c "pg_dump -U [postgres-user] [database-name]" > database.sql

RESTORE
// pod-name         name of the postgres pod
// postgres-user    database user that is able to access the database
// database-name    name of the database

PetrochukM

# coding=utf-8
# Copyright 2017 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

Tushar-N

import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

seqs = ['gigantic_string','tiny_str','medium_str']

# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))

# make model

urschrei

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created by Stephan Hügel on 2017-03-02
The MIT License (MIT)
Copyright (c) 2017 Stephan Hügel
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