joeddav

import openai

class ChatGPT:
    """ A very simple wrapper around OpenAI's ChatGPT API. Makes it easy to create custom messages & chat. """
    
    def __init__(self, model="gpt-3.5-turbo", completion_hparams=None):
        self.model = model
        self.completion_hparams = completion_hparams or {}
        self.history = []
        self._messages = []

jwilson8767

from concurrent.futures import as_completed, ProcessPoolExecutor
import geopandas as gpd
import pandas as pd
import numpy as np
from collections.abc import Sequence
from shapely import prepared

def sjoin(left_df, right_df,  op='intersects', how='inner', lsuffix='left', rsuffix='right', fail_crs_mismatch: bool = True, fail_missing_geometries: bool = False) -> gpd.GeoDataFrame:
    """Spatial join of two GeoDataFrames. GeoPandas sjoin with concurrency (split naively using df slicing).
    

miguelmota

package main

import (
	"fmt"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/ssm"
)

bagder

NOTE

This content has moved.

Please go to bagder/TRRprefs for the current incarnation of the docs, and please help us out polish and maintain this documentation!

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

Hello1024

#!/bin/bash

# Run this on This AMI on AWS:
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8

# You should get yourself a fully working GPU enabled tensorflow installation.

cd ~

# grab cuda 7.0

smly

"""
An example to check the AUC score on a validation set for each 10 epochs.
I hope it will be helpful for optimizing number of epochs.
"""
# -*- coding: utf-8 -*-
import logging

from sklearn.metrics import roc_auc_score
from keras.callbacks import Callback

stucchio

from numpy import *
from scipy.stats import beta


class BetaBandit(object):
    def __init__(self, num_options=2, prior=(1.0,1.0)):
        self.trials = zeros(shape=(num_options,), dtype=int)
        self.successes = zeros(shape=(num_options,), dtype=int)
        self.num_options = num_options
        self.prior = prior

jvangael

#!/usr/bin/env python
"""Reads json lines from stdin and write csv to stdout.

Usage:
  json2csv.py -f <field>...
  json2csv.py -h | --help
  json2csv.py --version

Options:
  -h --help     Show this screen.