openai国内可以用吗(openbionics中国可以买吗)
大家好!今天让创意岭的小编来大家介绍下关于openai国内可以用吗的问题,以下是小编对此问题的归纳整理,让我们一起来看看吧。
ChatGPT国内免费在线使用,一键生成原创文章、方案、文案、工作计划、工作报告、论文、代码、作文、做题和对话答疑等等
只需要输入关键词,就能返回你想要的内容,越精准,写出的就越详细,有微信小程序端、在线网页版、PC客户端
本文目录:
一、openai能当爬虫使吗
你好,可以的,Spinning Up是OpenAI开源的面向初学者的深度强化学习资料,其中列出了105篇深度强化学习领域非常经典的文章, 见 Spinning Up:
博主使用Python爬虫自动爬取了所有文章,而且爬下来的文章也按照网页的分类自动分类好。
见下载资源:Spinning Up Key Papers
源码如下:
import os
import time
import urllib.request as url_re
import requests as rq
from bs4 import BeautifulSoup as bf
'''Automatically download all the key papers recommended by OpenAI Spinning Up.
See more info on: https://spinningup.openai.com/en/latest/spinningup/keypapers.html
Dependency:
bs4, lxml
'''
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36'
}
spinningup_url = 'https://spinningup.openai.com/en/latest/spinningup/keypapers.html'
paper_id = 1
def download_pdf(pdf_url, pdf_path):
"""Automatically download PDF file from Internet
Args:
pdf_url (str): url of the PDF file to be downloaded
pdf_path (str): save routine of the downloaded PDF file
"""
if os.path.exists(pdf_path): return
try:
with url_re.urlopen(pdf_url) as url:
pdf_data = url.read()
with open(pdf_path, "wb") as f:
f.write(pdf_data)
except: # fix link at [102]
pdf_url = r"https://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/Neural-Netw-2008-21-682_4867%5b0%5d.pdf"
with url_re.urlopen(pdf_url) as url:
pdf_data = url.read()
with open(pdf_path, "wb") as f:
f.write(pdf_data)
time.sleep(10) # sleep 10 seconds to download next
def download_from_bs4(papers, category_path):
"""Download papers from Spinning Up
Args:
papers (bs4.element.ResultSet): 'a' tags with paper link
category_path (str): root dir of the paper to be downloaded
"""
global paper_id
print("Start to ownload papers from catagory {}...".format(category_path))
for paper in papers:
paper_link = paper['href']
if not paper_link.endswith('.pdf'):
if paper_link[8:13] == 'arxiv':
# paper_link = "https://arxiv.org/abs/1811.02553"
paper_link = paper_link[:18] + 'pdf' + paper_link[21:] + '.pdf' # arxiv link
elif paper_link[8:18] == 'openreview': # openreview link
# paper_link = "https://openreview.net/forum?id=ByG_3s09KX"
paper_link = paper_link[:23] + 'pdf' + paper_link[28:]
elif paper_link[14:18] == 'nips': # neurips link
paper_link = "https://proceedings.neurips.cc/paper/2017/file/a1d7311f2a312426d710e1c617fcbc8c-Paper.pdf"
else: continue
paper_name = '[{}] '.format(paper_id) + paper.string + '.pdf'
if ':' in paper_name:
paper_name = paper_name.replace(':', '_')
if '?' in paper_name:
paper_name = paper_name.replace('?', '')
paper_path = os.path.join(category_path, paper_name)
download_pdf(paper_link, paper_path)
print("Successfully downloaded {}!".format(paper_name))
paper_id += 1
print("Successfully downloaded all the papers from catagory {}!".format(category_path))
def _save_html(html_url, html_path):
"""Save requested HTML files
Args:
html_url (str): url of the HTML page to be saved
html_path (str): save path of HTML file
"""
html_file = rq.get(html_url, headers=headers)
with open(html_path, "w", encoding='utf-8') as h:
h.write(html_file.text)
def download_key_papers(root_dir):
"""Download all the key papers, consistent with the categories listed on the website
Args:
root_dir (str): save path of all the downloaded papers
"""
# 1. Get the html of Spinning Up
spinningup_html = rq.get(spinningup_url, headers=headers)
# 2. Parse the html and get the main category ids
soup = bf(spinningup_html.content, 'lxml')
# _save_html(spinningup_url, 'spinningup.html')
# spinningup_file = open('spinningup.html', 'r', encoding="UTF-8")
# spinningup_handle = spinningup_file.read()
# soup = bf(spinningup_handle, features='lxml')
category_ids = []
categories = soup.find(name='div', attrs={'class': 'section', 'id': 'key-papers-in-deep-rl'}).\
find_all(name='div', attrs={'class': 'section'}, recursive=False)
for category in categories:
category_ids.append(category['id'])
# 3. Get all the categories and make corresponding dirs
category_dirs = []
if not os.path.exitis(root_dir):
os.makedirs(root_dir)
for category in soup.find_all(name='h4'):
category_name = list(category.children)[0].string
if ':' in category_name: # replace ':' with '_' to get valid dir name
category_name = category_name.replace(':', '_')
category_path = os.path.join(root_dir, category_name)
category_dirs.append(category_path)
if not os.path.exists(category_path):
os.makedirs(category_path)
# 4. Start to download all the papers
print("Start to download key papers...")
for i in range(len(category_ids)):
category_path = category_dirs[i]
category_id = category_ids[i]
content = soup.find(name='div', attrs={'class': 'section', 'id': category_id})
inner_categories = content.find_all('div')
if inner_categories != []:
for category in inner_categories:
category_id = category['id']
inner_category = category.h4.text[:-1]
inner_category_path = os.path.join(category_path, inner_category)
if not os.path.exists(inner_category_path):
os.makedirs(inner_category_path)
content = soup.find(name='div', attrs={'class': 'section', 'id': category_id})
papers = content.find_all(name='a',attrs={'class': 'reference external'})
download_from_bs4(papers, inner_category_path)
else:
papers = content.find_all(name='a',attrs={'class': 'reference external'})
download_from_bs4(papers, category_path)
print("Download Complete!")
if __name__ == "__main__":
root_dir = "key-papers"
download_key_papers(root_dir)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
二、dota2怎么挑战openai?
1、首先openai开放了5V5模式,然而目前为止,在已经进行的577场比赛中人类仅获得两场胜利,可想而知人机的实力超强。
2、比赛也是有英雄限定的,只准用相应的17个英雄,而且还禁止使用召唤物和幻像。
3、如果想要进入游戏,搜索openai five arena,进入后点击最左边的图标即可
dota2的OpenAi成了刀界的明星,在上周2-0拿下OG后,昨天对所有刀塔玩家开放,这场新颖的PVE DOTA2挑战赛,迅速激发了全世界开荒一般的热情。OpenAI一直保持着99%以上的胜率,截止4月20日凌晨一点,总共赢得2342场比赛,仅仅输掉了13场。
全球首杀是一支欧美队伍,人头比39:25,耗时44分55秒。而国内也在昨天各大主播纷纷参与,OB几位兄弟自然也在其中。峰哥、核桃、周神、龙神和宝哥组成了OB开荒团。
在被OpenAi花式吊打了一个晚上后,在最后的睡觉局OB五熊拿了斯温、火枪、死亡先知、潮汐和冰女,全场执行力拉满,指哪里打哪里,说回防3本TP亮起来,都非常想拿下这一把DOTA2比赛。只说一个细节,连老瘤子yyf都自己买粉了,你就可见想象他们是多么的想赢了。
OpenAI的矮人直升机绝望地打出胜率不足百分之一的信号,这是观众第一次看到.
OB耗时36分35秒拿下比赛,拿到国服首杀,满屏弹幕真心打出“FGNB”。有意思的是这次比赛OpenAi第十手点了一个影魔,弹幕表示OpneAi都已经进化到看情商了。也有玩家表示让光头把录像下回去给may皇看,写1000字的报告。
三、openai可以登录几个
OpenAI可以登录多个网站,包括Facebook、Twitter、Google、GitHub等等。OpenAI的目标是帮助用户更轻松地访问和使用这些网站,让用户可以更快更安全地访问和使用这些网站。OpenAI还可以帮助用户更好地管理他们的个人信息,以及更好地保护他们的隐私。
四、openai为什么改节点之后还不能用
代理问题。OpenAI,由诸多硅谷大亨联合建立的人工智能非营利组织,该组织改节点之后还不能用是因为代理问题导致的,能够预防人工智能的灾难性影响,推动人工智能发挥积极作用。
以上就是关于openai国内可以用吗相关问题的回答。希望能帮到你,如有更多相关问题,您也可以联系我们的客服进行咨询,客服也会为您讲解更多精彩的知识和内容。
推荐阅读: