davidlenz

#Put this in Export-Chocolatey.ps1 file and run it:
#Export-Chocolatey.ps1 > packages.config
#You can install the packages using
#choco install packages.config -y

Write-Output "<?xml version=`"1.0`" encoding=`"utf-8`"?>"
Write-Output "<packages>"
choco list -lo -r -y | % { "   <package id=`"$($_.SubString(0, $_.IndexOf("|")))`" version=`"$($_.SubString($_.IndexOf("|") + 1))`" />" }
Write-Output "</packages>"

davidlenz

class AttentionLSTM(LSTM):
    """LSTM with attention mechanism

    This is an LSTM incorporating an attention mechanism into its hidden states.
    Currently, the context vector calculated from the attended vector is fed
    into the model's internal states, closely following the model by Xu et al.
    (2016, Sec. 3.1.2), using a soft attention model following
    Bahdanau et al. (2014).

    The layer expects two inputs instead of the usual one:

davidlenz

# uses the date_to_milliseconds and interval_to_milliseconds functions
# https://gist.github.com/sammchardy/3547cfab1faf78e385b3fcb83ad86395
# https://gist.github.com/sammchardy/fcbb2b836d1f694f39bddd569d1c16fe

from binance.client import Client
import time

def get_historical_klines(symbol, interval, start_str, end_str=None):
    """Get Historical Klines from Binance