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/notebooks/KG - Storages.ipynb | c7d45998146cf96c74f5e55421b80d18263158ff | [
"Apache-2.0"
] | permissive | naranil/nexus-python-sdk | https://github.com/naranil/nexus-python-sdk | 1 | 0 | Apache-2.0 | 2019-08-06T08:56:12 | 2019-08-02T18:08:01 | null | Jupyter Notebook | false | false | .py | 9,950 | # ---
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# ### 协作型过滤（Collaborative Filtering）
# >*从一大群人中进行搜索， 找... | 10,527 |
/lab3/lab3.ipynb | 7616c9037d0cb2bd4f357774304326b088163325 | [] | no_license | th3rring/comp330 | https://github.com/th3rring/comp330 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,383 | # ---
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import numpy as np
import time;
# +
# there are 2000 ... | 1,371 |
/Machine Learning Basics/6.Classification (Sınıflandırma)/Untitled.ipynb | df2ee16c34fd47e8d5f428092388b6e29f75fa29 | [] | no_license | onurkulat/machine_learning | https://github.com/onurkulat/machine_learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,433 | # ---
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# # Sınıflandırma (Classification)
# ## Lojistik Regr... | 2,552 |
/homework/Day_099_data_augmentation.ipynb | 3fdf3851756611513dd4e3c52867456ad8916886 | [] | no_license | greamown/2nd-ML100Days | https://github.com/greamown/2nd-ML100Days | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 385,177 | # ---
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from keras.datasets import cifar10
from keras.preproce... | 6,176 |
/SESSION_13-Intro_to_ML/SESSION13b (per Milo) - Data Cleaning part/.ipynb_checkpoints/UntidyToTidy_last-checkpoint.ipynb | 9dbea809f92f2e88c25a5866ef9d83fc550a522d | [] | no_license | maklaskarlos/Cogingwaves-Fuerte-2019 | https://github.com/maklaskarlos/Cogingwaves-Fuerte-2019 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 27,371 | # ---
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# # Untidy dataset
#
# The dataset manipulation we wil... | 6,579 |
/ETL_proj - Copy.ipynb | f823eb4f9a2ebe0e7e797f35f66f8d7905730b09 | [] | no_license | arinmuk/ETL_Challenge | https://github.com/arinmuk/ETL_Challenge | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,547,132 | # ---
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import numpy as np
import pandas as pd
# ## GroupBy... | 21,092 |
/tarea1/.ipynb_checkpoints/Untitled-checkpoint.ipynb | 70c21123539269056d9f9ef97a572bb412208d46 | [] | no_license | emenesesayc/INFO257_2020 | https://github.com/emenesesayc/INFO257_2020 | 0 | 0 | null | 2020-05-08T14:24:01 | 2020-05-04T18:23:09 | null | Jupyter Notebook | false | false | .py | 105,871 | # ---
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# ## Dependencies
# + _kg_hide-input=true
import json... | 10,443 |
/Notas 04B - Simulated Annealing.ipynb | 31247f818cb90f87dd878aa2a0fba0d9dfce0217 | [] | no_license | leotalorac/20152.ai.uis | https://github.com/leotalorac/20152.ai.uis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 222,156 | # ---
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# Refs:
#
# - Original paper: Kirkpatrick, S., Gelatt,... | 5,883 |
/jupyter/Untitled.ipynb | ed852c43c3dd1185c94ddd19c9078e7839776d6b | [] | no_license | justinphan3110/spert | https://github.com/justinphan3110/spert | 0 | 1 | null | 2020-07-29T08:27:29 | 2020-07-28T08:49:21 | null | Jupyter Notebook | false | false | .py | 48,103 | # ---
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# # Estructuras de control
# for(i=0; i<100; i=i+1) {... | 2,783 |
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] | permissive | jirifilip/pyIDS | https://github.com/jirifilip/pyIDS | 22 | 13 | MIT | 2020-12-06T14:13:39 | 2020-12-06T14:11:24 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 38,378 | # ---
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import pandas as pd
import pyarc
from pyids import IDS... | 3,929 |
/점프 투 파이썬/2.자료형/.ipynb_checkpoints/7.불-checkpoint.ipynb | 497acc897f0706800d8bf601054f066f64fef219 | [] | no_license | cheolhyunlee/self-studying | https://github.com/cheolhyunlee/self-studying | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,989 | # ---
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# ## 불
# - 불(bool) 자료형이란 참(True)과 거짓(False)을 나타내는 자료형
... | 4,985 |
/BACK_ZELD.ipynb | 70fcb21082d0c82cbad092a73d0d4819f6970daf | [] | no_license | skariel/VELREC_T3 | https://github.com/skariel/VELREC_T3 | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .jl | 38,098 | # ---
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include("jl/init_default.jl");
kd = get_kd(pos);
... | 1,299 |
/module_5/archives/Module_5.ipynb | 00a78c85489fc29ef5666676ed42be60e5df7706 | [] | no_license | R-ichardBall/mit_bda2 | https://github.com/R-ichardBall/mit_bda2 | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 167,385 | # ---
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# # Question 1
# +
Altitude = input("")
Altitude = in... | 5,730 |
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/NYC_Citibike_Challenge.ipynb | af4b580f94dd57c1686795391498f64f4873172b | [] | no_license | su-linterhell/bikesharing | https://github.com/su-linterhell/bikesharing | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 31,732 | # ---
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# +
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import cvxpy as cp
# +
# The amoun... | 42,368 |
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] | permissive | JesperDramsch/skillshare-data-science | https://github.com/JesperDramsch/skillshare-data-science | 26 | 11 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,342 | # ---
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# # Validating machine learning models
#
# Once we bui... | 13,118 |
/hw8.ipynb | 16bfdf8de6d6d18dd4832376054318256cdba793 | [] | no_license | shunkeai/computatinal-phys | https://github.com/shunkeai/computatinal-phys | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 111,401 | # ---
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# # Homework
#
# Merging compact objects produces a ch... | 2,174 |
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] | permissive | gaborsomogyi/ldssa-capstone | https://github.com/gaborsomogyi/ldssa-capstone | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,455 | # ---
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# ## Imports
# +
import pickle
import json
import pa... | 1,998 |
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# # <a id=notebook_start></a>
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import numpy as np
import math
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/notebooks/moseymo/hotel-demand-eda-business-perspective.ipynb | 48a84887a1a30c3e405eeea652812b96d1b3552f | [] | no_license | Sayem-Mohammad-Imtiaz/kaggle-notebooks | https://github.com/Sayem-Mohammad-Imtiaz/kaggle-notebooks | 5 | 6 | null | null | null | null | Jupyter Notebook | false | false | .py | 17,457 | # ---
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# ## Overview
#
# This notebook will investigate hote... | 10,465 |
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#import numpy as np
f... | 13,826 |
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# # Visualizing Chipotle's Data
# This time we are go... | 3,073 |
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/Data Visualization/Challenge - Data Visualization.ipynb | 668ae0663f6f45247f8edc98df3506ea02bf0c63 | [
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# # Plotting and Functions
# This notebook will work ... | 7,633 |
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import matplotlib.pyplot as plt
imp... | 2,184 |
/homework/Day_031_HW.ipynb | d1e3bddad8186062463446ae79356c7ae8d0e6b6 | [] | no_license | yehchitsai/2nd-ML100Days | https://github.com/yehchitsai/2nd-ML100Days | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 21,870 | # ---
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#Priority Queue - Nirali
class PriorityQueue():
... | 12,288 |
/LabML04.ipynb | 9ab23d51f70abe7d641fa4fc8ef2982fcc9918b1 | [] | no_license | l1quid17/Notebook-PCD | https://github.com/l1quid17/Notebook-PCD | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,528 | # ---
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# **LabML04**
#
# Explain the initial dataset
#
# What... | 1,293 |
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'''
Q1) Convert to a dictionary in one line using list... | 10,534 |
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#
#
# # Compute and visualize ERDS maps
#
# This examp... | 8,196 |
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# 문제) 제공 되는 'auto-mpg.csv' 파일에 대하여 EDA를 수행 후 소프트맥스 회귀 ... | 4,598 |
/file_analysis/ngram_from_json_II.ipynb | 72af694686905a02bfd2353d85fa521b4c124ce8 | [] | no_license | karthikaS03/IoT-Project | https://github.com/karthikaS03/IoT-Project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 402,668 | # ---
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# !start .
import tensorflow as tf
import tensorflow_... | 194,500 |
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import random
import... | 4,308 |
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# + id="Rae_ovNg-UjL"
import numpy as np
... | 273,645 |
/11_Chaines/td11.ipynb | 42f17df7370d931f00340d7e95d0a474b0d0750d | [] | no_license | FelixMiroudot/M1102 | https://github.com/FelixMiroudot/M1102 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 9,337 | # ---
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/Hotwater_Eagle_102.ipynb | c4afcb0fa97974853d3d1bb03c83a10d6c381ecf | [
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# ## Hotwater in Eagle 102
# +
DATAPATH=''
try:
#... | 11,305 |
/decision tree.ipynb | 34338f2f78a5874f8a24567d2f54fa81f38073b7 | [] | no_license | imtinan39/Diabetes_Prediction_with_different_algorithms | https://github.com/imtinan39/Diabetes_Prediction_with_different_algorithms | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 29,269 | # ---
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/ceteiep_maths101_20161005.ipynb | 8e9d5a1536e7ea1408106bcb5376a63ed966246a | [] | no_license | chgogos/ceteiep_maths101 | https://github.com/chgogos/ceteiep_maths101 | 1 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,911 | # ---
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import numpy as np
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/classes/w3 - Sentiment Analysis/miniflow/.ipynb_checkpoints/Miniflow Add Node-checkpoint.ipynb | dfd0e43c37c1effba503d328d4b2d23a570cc3f8 | [] | no_license | fesaab/deep-learning | https://github.com/fesaab/deep-learning | 0 | 0 | null | 2017-04-03T01:08:04 | 2017-04-03T00:32:44 | null | Jupyter Notebook | false | false | .py | 6,629 | # ---
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# # Influenza model preprocessing
import pandas as pd... | 26,287 |
/K-Means Clustering/Digits Classification/.ipynb_checkpoints/KMeans Clustering for Imagery Analysis (Jupyter Notebook)-checkpoint.ipynb | e30e422cab873de947eb1b229e22e2adda93f920 | [] | no_license | SuryaSsrivastava/machine_learning_theories | https://github.com/SuryaSsrivastava/machine_learning_theories | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 126,498 | # ---
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# +
import datetime
import os
import socket
import pic... | 15,495 |
/B2Kemu/Notebooks/GBReweighting.ipynb | db2a5538df42c08ef51a95140cacd86d5281bac2 | [] | no_license | Burney222/Master-Make-Based | https://github.com/Burney222/Master-Make-Based | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 625,549 | # ---
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# %matplotlib inline
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/Transfer Learning/l06c02_exercise_flowers_with_transfer_learning.ipynb | c0fde1ad4d9dccb28054de6108fc65319135a4bf | [] | no_license | kalthommusa/Udacity-Intro-to-TensorFlow-for-Deep-Learning | https://github.com/kalthommusa/Udacity-Intro-to-TensorFlow-for-Deep-Learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 17,168 | # ---
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# # Agglomerative Hierarchical Clustering
#
# In this ... | 10,634 |
/HW11/nyc_taxi.ipynb | 0b0924b80d96beb649341f7679b71ca9694df5df | [] | no_license | wonkim0512/BDP | https://github.com/wonkim0512/BDP | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 78,557 | # ---
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import numpy as np
import pandas as pd
import matp... | 1,085 |
/cars.ipynb | 0c970d1d483abfcbc571ead6dd350b310da7c41f | [] | no_license | sundusseif93/INTRO-TO-DATA-ANALYSIS | https://github.com/sundusseif93/INTRO-TO-DATA-ANALYSIS | 1 | 0 | null | 2019-07-23T23:25:44 | 2019-07-23T22:18:19 | null | Jupyter Notebook | false | false | .py | 521,322 | # ---
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# + [markdown] colab_type="text" id="iQjHqsmTAVLU"
# #... | 9,035 |
/Day_058_hierarchical_clustering_HW.ipynb | bb7b2404e846d2e47f21a109e56f2edb06abec68 | [] | no_license | angelsaying8642/1st-DL-CVMarathon | https://github.com/angelsaying8642/1st-DL-CVMarathon | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 44,044 | # ---
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/notebooks/ITSP Descriptive analysis.ipynb | f614ab1d814a9f57e5009b05c1df4975e990cb95 | [] | no_license | sebwdz/JobAnalysis | https://github.com/sebwdz/JobAnalysis | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 207,238 | # ---
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# + deletable=true editable=true
import pandas as pd
i... | 2,510 |
/6. Path Planning and Navigation/4. Sample-Based and Probabilistic Path Planning/13. State Utility/State Utility.ipynb | d0df41aa813d1746a43cc474702258330b473693 | [] | no_license | sunsided/robond-notebooks | https://github.com/sunsided/robond-notebooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,529 | # ---
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# # State Utility
#
# ## Definition
#
# The **utility ... | 6,164 |
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# # Reddit /r/relationships Title Prediction
# ## Setu... | 7,614 |
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# # Maxpooling Layer
#
# In this note... | 15,237 |
/.ipynb_checkpoints/AbstractSummarizer-checkpoint.ipynb | 94fd8be52d9ea9b59cbf43bbf47c54b1ca0f3431 | [] | no_license | keithRebello/abstractSummarizer | https://github.com/keithRebello/abstractSummarizer | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,754 | # ---
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# <span class='h2'>D - 乱数生成</span>
# <hr>
# <p>Time ... | 11,887 |
/course5-RNN/week3/Neural_machine_translation_with_attention_v4a.ipynb | cec748cc8f0bddf652f737b5183b84f9d1fd850e | [] | no_license | giladElichai/coursera_DeepLearningSpecialization | https://github.com/giladElichai/coursera_DeepLearningSpecialization | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 61,683 | # ---
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# # Neural Machine Translation
#
# Welcome to your fir... | 32,437 |
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# ******************* CLASSES ********************... | 2,815 |
/Web_Scraping.ipynb | 1315c7c742ab83ede2b15062ad5f491913a780eb | [] | no_license | ArijitChakrabarti/web-scraping-Arijit | https://github.com/ArijitChakrabarti/web-scraping-Arijit | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,019 | # ---
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# ## Teste 2
# ##### Agora é fazer testes e melhores v... | 3,183 |
/notebooks/default.ipynb | 5620f318554fd80397a2dfee37913a7af0fc5bf0 | [] | no_license | danilodorotheu/exemplo_modelo | https://github.com/danilodorotheu/exemplo_modelo | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,722 | # ---
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# # Notebook de exemplo
#
# <br>description: desc
# <b... | 783 |
/Regression Year vs Score.ipynb | 3835e7298d6f8dae117272c21b7fc00a3e9a16f4 | [] | no_license | mcordray1988/Freedom-Index | https://github.com/mcordray1988/Freedom-Index | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 50,030 | # ---
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# ## Exercise 1
import numpy as np
import torch
from ... | 16,384 |
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/goal_detection/.ipynb_checkpoints/goal_detection_alt-checkpoint.ipynb | 1f9725886bef7a8d8ebee582691a6bf4ec2206b8 | [] | no_license | robocupmipt/nao_cv | https://github.com/robocupmipt/nao_cv | 2 | 0 | null | 2019-06-03T01:03:55 | 2019-05-28T18:07:16 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 10,840 | # ---
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# # Autoencoders
#
# In this notebook we will explore ... | 13,864 |
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/Assignments/Data Visualization Assignment.ipynb | 8bd0c3750a00f3bb1e1fc311ffaa59f508152a3d | [] | no_license | mohdasim98/Python-assignment | https://github.com/mohdasim98/Python-assignment | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 272,394 | # ---
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# # Data Analysis and Machine Learning Using Python
#... | 5,298 |
/jupyter_notebooks/week_13_concurrency_transitions/timing_notebooks.ipynb | df3a49d8e8358ca309820ddc63ab7e07ba185bd7 | [] | no_license | umbcdata601/spring2020 | https://github.com/umbcdata601/spring2020 | 11 | 6 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,550 | # ---
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# ## Второе задание по вычислительной математике. Реше... | 17,896 |
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# #!/usr/bin/env python
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/ch5_code03_package_py09.ipynb | d4d01b0c3f4ca0c2e9f8b49e5f01c66b45eb98d3 | [] | no_license | hojoooon/py09 | https://github.com/hojoooon/py09 | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,929 | # ---
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/Assign1.ipynb | 2a56a767834d4d12bd0ef9e95d5655cfe241e1b1 | [] | no_license | a759116/ML_Python | https://github.com/a759116/ML_Python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 14,790 | # ---
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from scipy.optimize im... | 12,120 |
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import warnings
warnings.filterwarnings("ignore")... | 2,591 |
/sumOfTwo.ipynb | 81b4fc54f6a9cfa5cf585cf116a7968928f0c249 | [] | no_license | nasolim/coding_questions | https://github.com/nasolim/coding_questions | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,464 | # ---
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# __Defination__
#
# Let $\Omega$ be sample space of s... | 8,091 |
/DetectSky.ipynb | 1d6c188a7e1e887b4eeb800732048d20d5ba7f82 | [] | no_license | skipperuzumaki/Machiene_Learning | https://github.com/skipperuzumaki/Machiene_Learning | 4 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 12,174 | # ---
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import numpy as np
import matplotlib.pyplot... | 11,485 |
/22 June 2019.ipynb | d769d2a4696f1283c393a9db6a5ab5a4cf28b675 | [] | no_license | 230591/Python-June-2019 | https://github.com/230591/Python-June-2019 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 11,231 | # ---
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import pandas as pd
from pandas.i... | 1,154 |
/2_Docking_analysis/.ipynb_checkpoints/VS_EDA_docking_CDK2 (copia)-checkpoint.ipynb | ae6b30aeddc8d0af20fe6818745961643a3e94ed | [] | no_license | jRicciL/CDK2_notebooks | https://github.com/jRicciL/CDK2_notebooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,560,562 | # ---
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# # VS Ensemble Dockig CDK2
# ## Análisis de datos exp... | 33,959 |
/220_midterm/midterm.ipynb | 76849cc252245cb116edb11ecadc18dea9f1e505 | [] | no_license | RyanYin04/MachineLearningPractice | https://github.com/RyanYin04/MachineLearningPractice | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,161,935 | # ---
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/report.ipynb | 909080e219f860205135d9b57c8f21d96d19e0c3 | [] | no_license | ValeraKaravai/MRI_yolo | https://github.com/ValeraKaravai/MRI_yolo | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,211,942 | # ---
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# #%load_ext autoreload
# #%autoreload 2
import o... | 11,164 |
/main/nb064.ipynb | 64e89a5a51cdb6874dcf480ff7099e30ac88725b | [] | no_license | shu421/google-smartphone-decimeter-challenge | https://github.com/shu421/google-smartphone-decimeter-challenge | 6 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,543,271 | # ---
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/GFF/compare_matlab_python_community.ipynb | 60c1c717be04f36e7844837c5680b3c12818a9d8 | [] | no_license | johnsonice/imf_gff_metwork | https://github.com/johnsonice/imf_gff_metwork | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 19,691 | # ---
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# ## Export to matlab for community detection ... | 3,486 |
/credit_risk_resampling.ipynb | 56463af01db918637616b979cd0136e19772ae09 | [] | no_license | khao2393/Unit_11_MachineLearning | https://github.com/khao2393/Unit_11_MachineLearning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 43,446 | # ---
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import matplotlib.pyplot as plt... | 20,480 |
/.ipynb_checkpoints/udacity-slide-deck-checkpoint.ipynb | 1aa7ca0cc6fe567a4be9e701ed6a4a2198401478 | [] | no_license | merna17798/Project_3_Udacity | https://github.com/merna17798/Project_3_Udacity | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 616,901 | # ---
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# + [markdown] slideshow={"slide_type": "slide"}
# # (... | 10,802 |
/facebook_data_analysis.ipynb | 624bab60e781eb2f0737e1a885e3bde108722d60 | [] | no_license | oumiao-tj/incubator_project | https://github.com/oumiao-tj/incubator_project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 320,417 | # ---
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# # Barbara Gaspar Chan Ton... | 7,122 |
/Natuaral_Language_Processing/02_03_Vector_Projection.ipynb | 1bf5c2dc284d3c592105829a8c15666c79e9c2b4 | [] | no_license | ShamimurRahmanShuvo/NLP_learning | https://github.com/ShamimurRahmanShuvo/NLP_learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 130,739 | # ---
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# + [markdown] id="lTguFckTEDWd"
# # Projecting embeddings on TensorFlow proj... | 8,936 |
/Train/ConceptBert_Clef_Overall.ipynb | 7e9016a338cc1162e42ee65bccec23818be17c30 | [] | no_license | David9857/VQA | https://github.com/David9857/VQA | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 22,355 | # ---
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/Source/05_Feature_Engineering.ipynb | 99440943f75057bc6f1c40513b8986037c68730f | [
"MIT"
] | permissive | acdick/endangered_species_classification | https://github.com/acdick/endangered_species_classification | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 262,413 | # ---
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# # Feature Engineering
# +
import pandas as pd
impor... | 9,014 |
/Stain_norm.ipynb | 2d6fc8bda5aba022ad4321539d7e76825e80960e | [] | no_license | NeXu7/Hist-Norm | https://github.com/NeXu7/Hist-Norm | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,761,395 | # ---
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# # Data visualization wit... | 15,323 |
/.ipynb_checkpoints/mission_simulations-checkpoint.ipynb | 5c4eb028de4b3c1ab69b4305b5c6ac787c0a0433 | [] | no_license | bonarl/Mission-to-Mars | https://github.com/bonarl/Mission-to-Mars | 5 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,937 | # ---
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# ## Importing libraries (useful things we'll use in t... | 5,474 |
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# + [markdown] id="e4etWCIL5vaX" colab_type="text"
# # Colab Stuff
# Pre-setu... | 10,073 |
/pretrained-model/stt/alconformer/export/base.ipynb | da242fb1ad42e96ce08ba2bf9d5ca588e2734293 | [
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = ''... | 18,328 |
/ImageObjDetYOLO.ipynb | 9d44a5a456c2df72c378732ab288cf755a83260b | [] | no_license | arjundvn24/ObjectDetYOLO | https://github.com/arjundvn24/ObjectDetYOLO | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,074,157 | # ---
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from pyspark.streaming import StreamingContext
# ... | 22,118 |
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# # DS-NYC-45 | Unit Project 2: Explo... | 7,273 |
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"LicenseRef-scancode-generic-cla"
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import netCDF4 as nc
import numpy as np
# import pydap... | 1,271 |
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# # 作業重點:
#
# (1)以, Adam, 為例, 調整 batch_size, epoch , 觀... | 33,419 |
/Lab1.ipynb | 378a857b88c7692e98e08cc86f91cba7bff01a39 | [] | no_license | Mineyevaa/Laba | https://github.com/Mineyevaa/Laba | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 597,589 | # ---
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# # Первичный анализ и предобработка данных с Pandas
... | 8,627 |
/DZnetology/Вебинар по теме Основы Python/Diplomnaya_rabota_po_python.ipynb | 0e2f3ca5f0e6c507767c79e0b40e0a94a3ec66de | [] | no_license | Bohram/test | https://github.com/Bohram/test | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 229,011 | # ---
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# # CSE-221710305047-SAI_D_VETUKURI
# Use the followi... | 8,084 |
/ML-Week2/Lecture5 python data visualization/Seaborn/.ipynb_checkpoints/Grids-checkpoint.ipynb | 5161c0fb50974ca614f3ee78157d50bef838ad67 | [] | no_license | Napat/sidtechtalent | https://github.com/Napat/sidtechtalent | 0 | 0 | null | 2017-09-17T13:56:07 | 2017-09-17T07:05:16 | null | Jupyter Notebook | false | false | .py | 601,357 | # ---
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import os,sys,inspect
currentdir = os.path.dirname... | 6,823 |
/nagao3/alatcala.ipynb | 83ea315c15ac36c5ca387b94f54c27c1db98347e | [] | no_license | santoshkumarradha/NagaO2-MoO3 | https://github.com/santoshkumarradha/NagaO2-MoO3 | 2 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 443,206 | # ---
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from lmf import lmf #load the lmf calculator
import nu... | 10,080 |
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# #### New to Plotly?
# Plotly's Python library is fre... | 7,698 |
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# # Imports
import tensorflow as tf
tf.logging.set_ve... | 8,989 |
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# # Reference:
# # actual data source: https://stats... | 8,768 |
/docs/Cruises.ipynb | b7ab1e8e028cea8177b72b096ffdc2e6eb1dbde0 | [
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# <!--NAVIGATION-->
# < [Is Climatology Product](Clima... | 1,515 |
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