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  1. <div id="table-of-contents">
  2. <h2>Table of Contents</h2>
  3. <div id="text-table-of-contents">
  4. <ul>
  5. <li><a href="#org451d036">1. Papers and software</a>
  6. <ul>
  7. <li><a href="#orgedb897a">1.1. AmpLab</a>
  8. <ul>
  9. <li><a href="#orgaafac27">1.1.1. Akaros operating system</a></li>
  10. </ul>
  11. </li>
  12. <li><a href="#org188772c">1.2. DeepMind</a></li>
  13. <li><a href="#orgd5d5e3a">1.3. Medium.com</a>
  14. <ul>
  15. <li><a href="#orgebe4c70">1.3.1. Great data set car drive</a></li>
  16. </ul>
  17. </li>
  18. <li><a href="#orga03aa3d">1.4. OpenAi Gym for practice</a></li>
  19. <li><a href="#orgb97fa71">1.5. AI Experiments</a>
  20. <ul>
  21. <li><a href="#orgc288b38">1.5.1. Google machine learning opensource platform</a></li>
  22. </ul>
  23. </li>
  24. <li><a href="#org8e48393">1.6. Deepgram</a>
  25. <ul>
  26. <li><a href="#org94f7477">1.6.1. Deep learning made easy</a></li>
  27. <li><a href="#org8ce9d78">1.6.2. Kur</a></li>
  28. </ul>
  29. </li>
  30. <li><a href="#org4d6eaa6">1.7. Kuduvm</a>
  31. <ul>
  32. <li><a href="#org9faa019">1.7.1. Data analytics</a></li>
  33. </ul>
  34. </li>
  35. <li><a href="#org3134d9a">1.8. Swig</a>
  36. <ul>
  37. <li><a href="#org143d47a">1.8.1. connecting python and C</a></li>
  38. </ul>
  39. </li>
  40. </ul>
  41. </li>
  42. <li><a href="#orgfbc4667">2. Microsoft concept Graph</a>
  43. <ul>
  44. <li><a href="#org20d20e6">2.1. Conceptualization through machine learning</a>
  45. <ul>
  46. <li><a href="#org6696414">2.1.1. Microsoft concept tagging model</a></li>
  47. </ul>
  48. </li>
  49. </ul>
  50. </li>
  51. <li><a href="#org44d8b04">3. Artificial swarm intelligence</a>
  52. <ul>
  53. <li><a href="#org4df613b">3.1. Animals think better together</a></li>
  54. </ul>
  55. </li>
  56. <li><a href="#org658ab78">4. Faster Fibonacci</a>
  57. <ul>
  58. <li><a href="#org42587eb">4.1. fast algorithm with karatsuba multiplication</a></li>
  59. </ul>
  60. </li>
  61. <li><a href="#org6053efe">5. BlockChain</a>
  62. <ul>
  63. <li><a href="#org1ada64f">5.1. HyperLedger project</a></li>
  64. <li><a href="#org75d94be">5.2. Ethereum</a>
  65. <ul>
  66. <li><a href="#org718ef2c">5.2.1. Smart Contracts</a></li>
  67. </ul>
  68. </li>
  69. </ul>
  70. </li>
  71. <li><a href="#org141c6b1">6. Big Data Analytics</a>
  72. <ul>
  73. <li><a href="#orgd43bb3c">6.1. Julia programming language</a></li>
  74. <li><a href="#org7296942">6.2. Rust programming language better performance than C++ in machine learning</a>
  75. <ul>
  76. <li><a href="#org21d26d9">6.2.1. Missing NumPy or similar</a></li>
  77. </ul>
  78. </li>
  79. <li><a href="#orgd62600c">6.3. Julia programming language</a></li>
  80. <li><a href="#orgddbd97d">6.4. Rust programming language better performance than C++ in machine learning</a>
  81. <ul>
  82. <li><a href="#org593f9af">6.4.1. Missing NumPy or similar</a></li>
  83. </ul>
  84. </li>
  85. </ul>
  86. </li>
  87. <li><a href="#orgced2f7b">7. Avanguardie artistiche</a>
  88. <ul>
  89. <li><a href="#orgb8c4f07">7.1. Gauguin</a>
  90. <ul>
  91. <li><a href="#org777b1f6">7.1.1. Arte come caricatura, nel vero senso del termine, del reale, se un albero è verde prendi il più bel verde dalla tua tavolozza</a></li>
  92. </ul>
  93. </li>
  94. <li><a href="#org19eaf4a">7.2. Vlaminck</a>
  95. <ul>
  96. <li><a href="#org2efc4b9">7.2.1. Prendere la via percorsa dalla folla al contrario &#x2013;&gt; Prendere la via percorsa dalla follia al contrario</a></li>
  97. </ul>
  98. </li>
  99. </ul>
  100. </li>
  101. <li><a href="#orgd98a1f3">8. Corto Maltese</a>
  102. <ul>
  103. <li><a href="#org4d2fb20">8.1. Uomo d'acciaio</a>
  104. <ul>
  105. <li><a href="#org8a9f9e8">8.1.1. Giudice giuria e boia</a></li>
  106. </ul>
  107. </li>
  108. <li><a href="#orgde638f9">8.2. Qui avresti trovato tutto ciò che cerchi ma sei cieco come una talpa</a>
  109. <ul>
  110. <li><a href="#org9a1faa8">8.2.1. E riparleremo di gentiluomini di fortuna</a></li>
  111. </ul>
  112. </li>
  113. </ul>
  114. </li>
  115. <li><a href="#org4d1ef47">9. Methaven</a>
  116. <ul>
  117. <li><a href="#org4db033a">9.1. Research driven design and design driven research</a></li>
  118. </ul>
  119. </li>
  120. <li><a href="#orgabf395b">10. Contributing</a>
  121. <ul>
  122. <li><a href="#org4ec979f">10.1. Shogun</a>
  123. <ul>
  124. <li><a href="#org7ad8b56">10.1.1. C machine learning library</a></li>
  125. </ul>
  126. </li>
  127. <li><a href="#org1f2f5f4">10.2. Torch</a>
  128. <ul>
  129. <li><a href="#org7e7ff53">10.2.1. Lua/C machine learning library</a></li>
  130. </ul>
  131. </li>
  132. </ul>
  133. </li>
  134. </ul>
  135. </div>
  136. </div>
  137.  
  138.  
  139. <a id="org451d036"></a>
  140.  
  141. # Papers and software
  142.  
  143.  
  144. <a id="orgedb897a"></a>
  145.  
  146. ## AmpLab
  147.  
  148.  
  149. <a id="orgaafac27"></a>
  150.  
  151. ### Akaros operating system
  152.  
  153.  
  154. <a id="org188772c"></a>
  155.  
  156. ## DeepMind
  157.  
  158.  
  159. <a id="orgd5d5e3a"></a>
  160.  
  161. ## Medium.com
  162.  
  163.  
  164. <a id="orgebe4c70"></a>
  165.  
  166. ### Great data set car drive
  167.  
  168.  
  169. <a id="orga03aa3d"></a>
  170.  
  171. ## OpenAi Gym for practice
  172.  
  173.  
  174. <a id="orgb97fa71"></a>
  175.  
  176. ## AI Experiments
  177.  
  178.  
  179. <a id="orgc288b38"></a>
  180.  
  181. ### Google machine learning opensource platform
  182.  
  183.  
  184. <a id="org8e48393"></a>
  185.  
  186. ## Deepgram
  187.  
  188.  
  189. <a id="org94f7477"></a>
  190.  
  191. ### Deep learning made easy
  192.  
  193.  
  194. <a id="org8ce9d78"></a>
  195.  
  196. ### Kur
  197.  
  198. 1. C model passed to kur through python and pickle
  199.  
  200.  
  201. <a id="org4d6eaa6"></a>
  202.  
  203. ## Kuduvm
  204.  
  205.  
  206. <a id="org9faa019"></a>
  207.  
  208. ### Data analytics
  209.  
  210.  
  211. <a id="org3134d9a"></a>
  212.  
  213. ## Swig
  214.  
  215.  
  216. <a id="org143d47a"></a>
  217.  
  218. ### connecting python and C
  219.  
  220.  
  221. <a id="orgfbc4667"></a>
  222.  
  223. # Microsoft concept Graph
  224.  
  225.  
  226. <a id="org20d20e6"></a>
  227.  
  228. ## Conceptualization through machine learning
  229.  
  230.  
  231. <a id="org6696414"></a>
  232.  
  233. ### Microsoft concept tagging model
  234.  
  235. 1. Choosing the best tag (neither too specific nor too vague)
  236.  
  237.  
  238. <a id="org44d8b04"></a>
  239.  
  240. # Artificial swarm intelligence
  241.  
  242.  
  243. <a id="org4df613b"></a>
  244.  
  245. ## Animals think better together
  246.  
  247.  
  248. <a id="org658ab78"></a>
  249.  
  250. # Faster Fibonacci
  251.  
  252.  
  253. <a id="org42587eb"></a>
  254.  
  255. ## fast algorithm with karatsuba multiplication
  256.  
  257.  
  258. <a id="org6053efe"></a>
  259.  
  260. # BlockChain
  261.  
  262.  
  263. <a id="org1ada64f"></a>
  264.  
  265. ## HyperLedger project
  266.  
  267.  
  268. <a id="org75d94be"></a>
  269.  
  270. ## Ethereum
  271.  
  272.  
  273. <a id="org718ef2c"></a>
  274.  
  275. ### Smart Contracts
  276.  
  277.  
  278. <a id="org141c6b1"></a>
  279.  
  280. # Big Data Analytics
  281.  
  282.  
  283. <a id="orgd43bb3c"></a>
  284.  
  285. ## Julia programming language
  286.  
  287.  
  288. <a id="org7296942"></a>
  289.  
  290. ## Rust programming language better performance than C++ in machine learning
  291.  
  292.  
  293. <a id="org21d26d9"></a>
  294.  
  295. ### Missing NumPy or similar
  296.  
  297. 1. ndarray is the only important one
  298.  
  299.  
  300. <a id="orgd62600c"></a>
  301.  
  302. ## Julia programming language
  303.  
  304.  
  305. <a id="orgddbd97d"></a>
  306.  
  307. ## Rust programming language better performance than C++ in machine learning
  308.  
  309.  
  310. <a id="org593f9af"></a>
  311.  
  312. ### Missing NumPy or similar
  313.  
  314. 1. ndarray is the only important one
  315.  
  316.  
  317. <a id="orgced2f7b"></a>
  318.  
  319. # Avanguardie artistiche
  320.  
  321.  
  322. <a id="orgb8c4f07"></a>
  323.  
  324. ## Gauguin
  325.  
  326.  
  327. <a id="org777b1f6"></a>
  328.  
  329. ### Arte come caricatura, nel vero senso del termine, del reale, se un albero è verde prendi il più bel verde dalla tua tavolozza
  330.  
  331. 1. Fauves
  332.  
  333.  
  334. <a id="org19eaf4a"></a>
  335.  
  336. ## Vlaminck
  337.  
  338.  
  339. <a id="org2efc4b9"></a>
  340.  
  341. ### Prendere la via percorsa dalla folla al contrario &#x2013;> Prendere la via percorsa dalla follia al contrario
  342.  
  343.  
  344. <a id="orgd98a1f3"></a>
  345.  
  346. # Corto Maltese
  347.  
  348.  
  349. <a id="org4d2fb20"></a>
  350.  
  351. ## Uomo d'acciaio
  352.  
  353.  
  354. <a id="org8a9f9e8"></a>
  355.  
  356. ### Giudice giuria e boia
  357.  
  358.  
  359. <a id="orgde638f9"></a>
  360.  
  361. ## Qui avresti trovato tutto ciò che cerchi ma sei cieco come una talpa
  362.  
  363.  
  364. <a id="org9a1faa8"></a>
  365.  
  366. ### E riparleremo di gentiluomini di fortuna
  367.  
  368.  
  369. <a id="org4d1ef47"></a>
  370.  
  371. # Methaven
  372.  
  373.  
  374. <a id="org4db033a"></a>
  375.  
  376. ## Research driven design and design driven research
  377.  
  378.  
  379. <a id="orgabf395b"></a>
  380.  
  381. # Contributing
  382.  
  383.  
  384. <a id="org4ec979f"></a>
  385.  
  386. ## Shogun
  387.  
  388.  
  389. <a id="org7ad8b56"></a>
  390.  
  391. ### C machine learning library
  392.  
  393.  
  394. <a id="org1f2f5f4"></a>
  395.  
  396. ## Torch
  397.  
  398.  
  399. <a id="org7e7ff53"></a>
  400.  
  401. ### Lua/C machine learning library
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