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/assignments/01_Intro2images-stVer.ipynb | 4c19b92543a0a199321351440743bd0c5a184586 | [] | no_license | iknyazeva/ML2020 | https://github.com/iknyazeva/ML2020 | 0 | 13 | null | 2020-09-21T09:56:38 | 2020-09-21T09:53:56 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 10,090,911 | # ---
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# + Collapsed="false"
import numpy as np
from skimage ... | 7,627 |
/Featureselection1.ipynb | 6436b45c27083bb89cf6a9ae3aa1bd3bcc1ff9f1 | [] | no_license | gabibu/unsupervisedLearning | https://github.com/gabibu/unsupervisedLearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 247,907 | # ---
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# # Secret-key or symmetric cryptography
#
# ## 1 DES ... | 12,425 |
/code_back_up/backuped_on_sharefolder_2021-01-06_000/00227_Performance_measurement_updated_1221.ipynb | 8335f10935d9168b511306fb2b27f3a6bd5534ca | [] | no_license | TrellixVulnTeam/jian_projects_AAPL | https://github.com/TrellixVulnTeam/jian_projects_AAPL | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 82,546 | # ---
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# # Coursework 2: Data Processing
#
# ## Task 1
# This... | 15,859 |
/Jupyter/02. Python para ciencia de datos intermedio/Python para ciencia de datos intermedio.ipynb | d86c329ce86a16fff6ee4355e0d700457fd55cb7 | [] | no_license | juanesoc/Curso-python | https://github.com/juanesoc/Curso-python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 291,183 | # ---
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# ## 控制迷宫寻宝机器人
#
# 在这个项目中，你将使用刚刚学到的知识，尝试根据要求，编写代码，来控制一... | 6,789 |
/hw2/Alexander_Telepov_hw2_p2.ipynb | 05bf7d0796fb7a35670f223717f0f8d1a4c0d287 | [] | no_license | alexander-telepov/ml-course-skoltech | https://github.com/alexander-telepov/ml-course-skoltech | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 431,082 | # ---
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# + [markdown] id="bWEEBnVC-Irv"
# # Home Assignment N... | 44,017 |
/data-structures/recursion/Staircase.ipynb | 2974220531bba573f441680fa2bd29175e5ba5e5 | [] | no_license | annahra/dsa-nanodegree | https://github.com/annahra/dsa-nanodegree | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,151 | # ---
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# + [markdown] graffitiCellId="id_v5swjqy"
# ### Probl... | 2,403 |
/Visual Genome - Regions.ipynb | aaca619c4e7f2a2edbc64ced4d5207349578bf36 | [
"MIT"
] | permissive | MeMAD-project/statistical-tools | https://github.com/MeMAD-project/statistical-tools | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,475,773 | # ---
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# # Introducción a Python: Listas, Iteraciones y Strin... | 18,911 |
/Data_Structures/arrays/Duplicate-Number.ipynb | b14d3fc53738515f2f5384dd6594c4a844eec897 | [] | no_license | Data-Semi/DataStructure-LessonNotes | https://github.com/Data-Semi/DataStructure-LessonNotes | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,810 | # ---
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# ### Probl... | 1,881 |
/6_function.ipynb | f0f001ee2af6ead7a3055d9b4b0236603c7d6f9c | [] | no_license | wssunn/Python-Language | https://github.com/wssunn/Python-Language | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,201 | # ---
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# ### 迭代器
#
# ```python
# x = [1, 2, 3]; it = iter(x)
# print(it.__next__()) ... | 3,684 |
/2. SKKU/2.DeepLearningBasic/Practice2_Softmax_Classifier/.ipynb_checkpoints/Samsung_SDS_Practice2_Softmax_Classifier-checkpoint.ipynb | 759b6d3e793c77c17de695744cc5f6cc470097c4 | [] | no_license | LeeKeon/AI | https://github.com/LeeKeon/AI | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 125,936 | # ---
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# # Practice2. Softmax classifier
# +
import numpy as... | 16,856 |
/13_sql.ipynb | 72fd7d34098246695262ad7fb85aa4ad1c4d829b | [] | no_license | kisslitsyn/ya.practicum | https://github.com/kisslitsyn/ya.practicum | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 43,457 | # ---
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# # Lab 2: Inference in Graphical Models
#
# ### Machi... | 17,297 |
/reproductions/Example/Example_05_04.ipynb | c4c2b66bffc7496da634cfb7e89f9f33acaf7ac2 | [] | no_license | Sikhu-Ntaka/Skogestad-Python | https://github.com/Sikhu-Ntaka/Skogestad-Python | 0 | 0 | null | 2020-01-29T13:15:55 | 2020-01-29T13:05:41 | null | Jupyter Notebook | false | false | .py | 1,731 | # ---
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# # Linear Regression [35pts (+5 bonus)]
#
# ## Introd... | 24,644 |
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