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免費(fèi)GPU——Google Colab提供的Tesla K80

 看見就非常 2020-07-08

Google Colab簡(jiǎn)介

Google Colaboratory是谷歌開放的一款研究工具,主要用于機(jī)器學(xué)習(xí)的開發(fā)和研究。這款工具現(xiàn)在可以免費(fèi)使用,但是不是永久免費(fèi)暫時(shí)還不確定。Google Colab最大的好處是給廣大的AI開發(fā)者提供了免費(fèi)的GPU使用!GPU型號(hào)是Tesla K80!你可以在上面輕松地跑例如:Keras、Tensorflow、Pytorch等框架。

(1)12G顯存,夠用了!

(2)系統(tǒng)版本:

(3)系統(tǒng)的內(nèi)核

(4)已經(jīng)安裝的軟件,及版本,其中pytorch、keras、tf 等框架都有

  1. Package Version
  2. ------------------------ ---------------------
  3. absl-py 0.7.1
  4. alabaster 0.7.12
  5. albumentations 0.1.12
  6. altair 3.2.0
  7. astor 0.8.0
  8. astropy 3.0.5
  9. atari-py 0.1.15
  10. atomicwrites 1.3.0
  11. attrs 19.1.0
  12. audioread 2.1.8
  13. autograd 1.3
  14. Babel 2.7.0
  15. backcall 0.1.0
  16. backports.tempfile 1.0
  17. backports.weakref 1.0.post1
  18. beautifulsoup4 4.6.3
  19. bleach 3.1.0
  20. blis 0.2.4
  21. bokeh 1.0.4
  22. boto 2.49.0
  23. boto3 1.9.216
  24. botocore 1.12.216
  25. Bottleneck 1.2.1
  26. branca 0.3.1
  27. bs4 0.0.1
  28. bz2file 0.98
  29. cachetools 3.1.1
  30. certifi 2019.6.16
  31. cffi 1.12.3
  32. chainer 5.4.0
  33. chardet 3.0.4
  34. Click 7.0
  35. cloudpickle 0.6.1
  36. cmake 3.12.0
  37. colorlover 0.3.0
  38. community 1.0.0b1
  39. contextlib2 0.5.5
  40. convertdate 2.1.3
  41. coverage 3.7.1
  42. coveralls 0.5
  43. crcmod 1.7
  44. cufflinks 0.14.6
  45. cupy-cuda100 5.4.0
  46. cvxopt 1.2.3
  47. cvxpy 1.0.25
  48. cycler 0.10.0
  49. cymem 2.0.2
  50. Cython 0.29.13
  51. daft 0.0.4
  52. dask 1.1.5
  53. dataclasses 0.6
  54. datascience 0.10.6
  55. decorator 4.4.0
  56. defusedxml 0.6.0
  57. descartes 1.1.0
  58. dill 0.3.0
  59. distributed 1.25.3
  60. Django 2.2.4
  61. dlib 19.16.0
  62. dm-sonnet 1.34
  63. docopt 0.6.2
  64. docutils 0.15.2
  65. dopamine-rl 1.0.5
  66. easydict 1.9
  67. ecos 2.0.7.post1
  68. editdistance 0.5.3
  69. en-core-web-sm 2.1.0
  70. entrypoints 0.3
  71. ephem 3.7.7.0
  72. et-xmlfile 1.0.1
  73. fa2 0.3.5
  74. fancyimpute 0.4.3
  75. fastai 1.0.57
  76. fastcache 1.1.0
  77. fastdtw 0.3.2
  78. fastprogress 0.1.21
  79. fastrlock 0.4
  80. fbprophet 0.5
  81. feather-format 0.4.0
  82. featuretools 0.4.1
  83. filelock 3.0.12
  84. fix-yahoo-finance 0.0.22
  85. Flask 1.1.1
  86. folium 0.8.3
  87. fsspec 0.4.1
  88. future 0.16.0
  89. gast 0.2.2
  90. GDAL 2.2.2
  91. gdown 3.6.4
  92. gensim 3.6.0
  93. geographiclib 1.49
  94. geopy 1.17.0
  95. gevent 1.4.0
  96. gin-config 0.2.0
  97. glob2 0.7
  98. google 2.0.2
  99. google-api-core 1.14.2
  100. google-api-python-client 1.7.11
  101. google-auth 1.4.2
  102. google-auth-httplib2 0.0.3
  103. google-auth-oauthlib 0.4.0
  104. google-cloud-bigquery 1.14.0
  105. google-cloud-core 1.0.3
  106. google-cloud-datastore 1.8.0
  107. google-cloud-language 1.2.0
  108. google-cloud-storage 1.16.1
  109. google-cloud-translate 1.5.0
  110. google-colab 1.0.0
  111. google-pasta 0.1.7
  112. google-resumable-media 0.3.3
  113. googleapis-common-protos 1.6.0
  114. googledrivedownloader 0.4
  115. graph-nets 1.0.4
  116. graphviz 0.10.1
  117. greenlet 0.4.15
  118. grpcio 1.15.0
  119. gspread 3.0.1
  120. gspread-dataframe 3.0.3
  121. gunicorn 19.9.0
  122. gym 0.10.11
  123. h5py 2.8.0
  124. HeapDict 1.0.0
  125. holidays 0.9.11
  126. html5lib 1.0.1
  127. httpimport 0.5.16
  128. httplib2 0.11.3
  129. humanize 0.5.1
  130. hyperopt 0.1.2
  131. ideep4py 2.0.0.post3
  132. idna 2.8
  133. image 1.5.27
  134. imageio 2.4.1
  135. imagesize 1.1.0
  136. imbalanced-learn 0.4.3
  137. imblearn 0.0
  138. imgaug 0.2.9
  139. importlib-metadata 0.19
  140. imutils 0.5.3
  141. inflect 2.1.0
  142. intel-openmp 2019.0
  143. intervaltree 2.1.0
  144. ipykernel 4.6.1
  145. ipython 5.5.0
  146. ipython-genutils 0.2.0
  147. ipython-sql 0.3.9
  148. ipywidgets 7.5.1
  149. itsdangerous 1.1.0
  150. jax 0.1.43
  151. jaxlib 0.1.26
  152. jdcal 1.4.1
  153. jedi 0.15.1
  154. jieba 0.39
  155. Jinja2 2.10.1
  156. jmespath 0.9.4
  157. joblib 0.13.2
  158. jpeg4py 0.1.4
  159. jsonschema 2.6.0
  160. jupyter 1.0.0
  161. jupyter-client 5.3.1
  162. jupyter-console 5.2.0
  163. jupyter-core 4.5.0
  164. kaggle 1.5.5
  165. kapre 0.1.3.1
  166. Keras 2.2.5
  167. Keras-Applications 1.0.8
  168. Keras-Preprocessing 1.1.0
  169. keras-vis 0.4.1
  170. kiwisolver 1.1.0
  171. knnimpute 0.1.0
  172. librosa 0.6.3
  173. lightgbm 2.2.3
  174. llvmlite 0.29.0
  175. lmdb 0.97
  176. lucid 0.3.8
  177. lunardate 0.2.0
  178. lxml 4.2.6
  179. magenta 0.3.19
  180. Markdown 3.1.1
  181. MarkupSafe 1.1.1
  182. matplotlib 3.0.3
  183. matplotlib-venn 0.11.5
  184. mesh-tensorflow 0.0.5
  185. mido 1.2.6
  186. mir-eval 0.5
  187. missingno 0.4.2
  188. mistune 0.8.4
  189. mizani 0.5.4
  190. mkl 2019.0
  191. mlxtend 0.14.0
  192. more-itertools 7.2.0
  193. moviepy 0.2.3.5
  194. mpi4py 3.0.2
  195. mpmath 1.1.0
  196. msgpack 0.5.6
  197. multiprocess 0.70.8
  198. multitasking 0.0.9
  199. murmurhash 1.0.2
  200. music21 5.5.0
  201. natsort 5.5.0
  202. nbconvert 5.6.0
  203. nbformat 4.4.0
  204. networkx 2.3
  205. nibabel 2.3.3
  206. nltk 3.2.5
  207. nose 1.3.7
  208. notebook 5.2.2
  209. np-utils 0.5.11.1
  210. numba 0.40.1
  211. numexpr 2.7.0
  212. numpy 1.16.4
  213. nvidia-ml-py3 7.352.0
  214. oauth2client 4.1.3
  215. oauthlib 3.1.0
  216. okgrade 0.4.3
  217. olefile 0.46
  218. opencv-contrib-python 3.4.3.18
  219. opencv-python 3.4.5.20
  220. openpyxl 2.5.9
  221. opt-einsum 3.0.1
  222. osqp 0.5.0
  223. packaging 19.1
  224. palettable 3.2.0
  225. pandas 0.24.2
  226. pandas-datareader 0.7.4
  227. pandas-gbq 0.4.1
  228. pandas-profiling 1.4.1
  229. pandocfilters 1.4.2
  230. parso 0.5.1
  231. pathlib 1.0.1
  232. patsy 0.5.1
  233. pexpect 4.7.0
  234. pickleshare 0.7.5
  235. Pillow 4.3.0
  236. pip 19.2.3
  237. pip-tools 3.9.0
  238. plac 0.9.6
  239. plotly 3.6.1
  240. plotnine 0.5.1
  241. pluggy 0.7.1
  242. portpicker 1.2.0
  243. prefetch-generator 1.0.1
  244. preshed 2.0.1
  245. pretty-midi 0.2.8
  246. prettytable 0.7.2
  247. progressbar2 3.38.0
  248. prometheus-client 0.7.1
  249. promise 2.2.1
  250. prompt-toolkit 1.0.16
  251. protobuf 3.7.1
  252. psutil 5.4.8
  253. psycopg2 2.7.6.1
  254. ptyprocess 0.6.0
  255. py 1.8.0
  256. pyarrow 0.14.1
  257. pyasn1 0.4.6
  258. pyasn1-modules 0.2.6
  259. pycocotools 2.0.0
  260. pycparser 2.19
  261. pydot 1.3.0
  262. pydot-ng 2.0.0
  263. pydotplus 2.0.2
  264. pyemd 0.5.1
  265. pyglet 1.4.2
  266. Pygments 2.1.3
  267. pygobject 3.26.1
  268. pymc3 3.7
  269. pymongo 3.9.0
  270. pymystem3 0.2.0
  271. PyOpenGL 3.1.0
  272. pyparsing 2.4.2
  273. pyrsistent 0.15.4
  274. pysndfile 1.3.7
  275. PySocks 1.7.0
  276. pystan 2.19.0.0
  277. pytest 3.6.4
  278. python-apt 1.6.4
  279. python-chess 0.23.11
  280. python-dateutil 2.5.3
  281. python-louvain 0.13
  282. python-rtmidi 1.3.0
  283. python-slugify 3.0.3
  284. python-utils 2.3.0
  285. pytz 2018.9
  286. PyWavelets 1.0.3
  287. PyYAML 3.13
  288. pyzmq 17.0.0
  289. qtconsole 4.5.4
  290. requests 2.21.0
  291. requests-oauthlib 1.2.0
  292. resampy 0.2.2
  293. retrying 1.3.3
  294. rpy2 2.9.5
  295. rsa 4.0
  296. s3fs 0.3.3
  297. s3transfer 0.2.1
  298. scikit-image 0.15.0
  299. scikit-learn 0.21.3
  300. scipy 1.3.1
  301. screen-resolution-extra 0.0.0
  302. scs 2.1.1.post2
  303. seaborn 0.9.0
  304. semantic-version 2.6.0
  305. Send2Trash 1.5.0
  306. setuptools 41.2.0
  307. setuptools-git 1.2
  308. Shapely 1.6.4.post2
  309. simplegeneric 0.8.1
  310. six 1.12.0
  311. sklearn 0.0
  312. sklearn-pandas 1.8.0
  313. smart-open 1.8.4
  314. snowballstemmer 1.9.0
  315. sortedcontainers 2.1.0
  316. spacy 2.1.8
  317. Sphinx 1.8.5
  318. sphinxcontrib-websupport 1.1.2
  319. SQLAlchemy 1.3.7
  320. sqlparse 0.3.0
  321. srsly 0.1.0
  322. stable-baselines 2.2.1
  323. statsmodels 0.10.1
  324. sympy 1.1.1
  325. tables 3.4.4
  326. tabulate 0.8.3
  327. tblib 1.4.0
  328. tensor2tensor 1.11.0
  329. tensorboard 1.14.0
  330. tensorboardcolab 0.0.22
  331. tensorflow 1.14.0
  332. tensorflow-estimator 1.14.0
  333. tensorflow-hub 0.5.0
  334. tensorflow-metadata 0.14.0
  335. tensorflow-probability 0.7.0
  336. termcolor 1.1.0
  337. terminado 0.8.2
  338. testpath 0.4.2
  339. text-unidecode 1.2
  340. textblob 0.15.3
  341. textgenrnn 1.4.1
  342. tfds-nightly 1.2.0.dev201908260105
  343. tflearn 0.3.2
  344. Theano 1.0.4
  345. thinc 7.0.8
  346. toolz 0.10.0
  347. torch 1.1.0
  348. torchsummary 1.5.1
  349. torchtext 0.3.1
  350. torchvision 0.3.0
  351. tornado 4.5.3
  352. tqdm 4.28.1
  353. traitlets 4.3.2
  354. tweepy 3.6.0
  355. typing 3.7.4.1
  356. tzlocal 1.5.1
  357. umap-learn 0.3.10
  358. uritemplate 3.0.0
  359. urllib3 1.24.3
  360. vega-datasets 0.7.0
  361. wasabi 0.2.2
  362. wcwidth 0.1.7
  363. webencodings 0.5.1
  364. Werkzeug 0.15.5
  365. wheel 0.33.6
  366. widgetsnbextension 3.5.1
  367. wordcloud 1.5.0
  368. wrapt 1.11.2
  369. xarray 0.11.3
  370. xgboost 0.90
  371. xkit 0.0.0
  372. xlrd 1.1.0
  373. xlwt 1.3.0
  374. yellowbrick 0.9.1
  375. zict 1.0.0
  376. zipp 0.6.0
  377. zmq 0.0.0

使用方法見最下的幾個(gè)鏈接,第二個(gè)英文版教程原版更清晰,幾個(gè)地方需要注意:

(1)直接關(guān)聯(lián)Colab應(yīng)用,其實(shí)應(yīng)該是先安裝Colab應(yīng)用,安裝鏈接:https://gsuite.google.com/marketplace/category/works-with-drive

在下面找 Colaboratory

(2)。。。

轉(zhuǎn)自:https://www.jianshu.com/p/000d2a9d36a0

https:///deep-learning-turkey/google-colab-free-gpu-tutorial-e113627b9f5d

https://research.google.com/colaboratory/faq.html

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