xinzhel

from docstring_parser import epydoc, google, numpydoc, rest
from docstring_parser.attrdoc import add_attribute_docstrings
from docstring_parser.common import (
    Docstring,
    DocstringStyle,
    ParseError,
    RenderingStyle,
)
from pydantic import BaseModel, create_model, validate_arguments
import typing as T

xinzhel

from instructor import OpenAISchema
from pydantic import Field
from typing import List
import enum

import openai

class Source(enum.Enum):
    VIDEO = "VIDEO"
    TRANSCRIPT = "TRANSCRIPT"

xinzhel

{
    "name": "MultiSearch",
    "description": "correct segmentation of `Search` tasks",
    "parameters": {
        "properties": {
            "tasks": {
                "items": {
                    "$ref": "#/$defs/Search"
                },
                "type": "array"

xinzhel

import socket
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
 sock.bind(("", 0)
 primary_port = sock.getsockname()[1]

xinzhel

Information about Academic Publication on Natural Language Processing (NLP).

Checklists of Web Tools:

• CORE Ranking
• China Computer Federation Recommended List and Ranking
• ACL Upcoming Events
• All Upcoming Events
• Finding Paper Search Engines

Guides for ACL submission:

xinzhel

Arxiv and PubMed

https://github.com/armancohan/long-summarization

CNN Daily Mail

$wget https://storage.googleapis.com/allennlp-public-data/cnndm-combined-data-2020.07.13.tar.gz 
$tar -xzf cnndm-combined-data-2020.07.13.tar.gz
$mv cnndm-combined-data-2020.07.13 cnn_dm

xinzhel

#!/bin/bash
# Script to create Azure DSVM Spot instance with NVidia P100 GPU  
read -p "Azure VM Name (default: dsvm): " vminput
vmname=${vminput:=dsvm}

while [ $password != $password2 ] ; do 
	read -s -p "Choose your Password: " password
	echo
	read -s -p "Re-enter Password: " password2
	echo

xinzhel

sudo apt update && upgrade

# install pip, ipython3
sudo apt install python3-pip



# 1. load pyenv 
curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash

xinzhel

import logging
import os
import sys
import json
from typing import Dict, Optional
from tqdm.auto import tqdm
import timeit
import numpy as np
test = []
train = []

xinzhel

Git

• Udacity Course
• Github Tutorial
• Online Book: Except advanced contents (e.g, git objects), I prefer its practical tutorial for setups for the Bash environment. However, it lacks the link for the necessary files to achieve auto-completion, prompt on bash.

Deep Learning

Natural Language Processing