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warnings.filterwarnings('ignore')
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# Figure(s) in the manuscript created by this notebook... | notebooks/02_FixedCell-cluster-analysis.ipynb |
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# ## Conecting to ERDDAP Server
#
# In this notebook w... | notebooks/ERDDAP-Server-Search-Operations.ipynb |
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import csv
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import pand... | notebooks/chapter_section_frequency.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | cibook_ch1.ipynb |
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import pandas as pd
import sqlite3
pd.set_option('dis... | files/interview-prep/Interview Prep Python.ipynb |
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# + [markdown] school_cell_uuid="7e38f62ffb... | 11. 기초 확률론4 - 상관 관계/01. 결합, 주변, 조건부 확률 밀도 함수.ipynb |
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import numpy as np
from matplotlib import pyplot as pl... | notebooks/05-LinearRegression/regression_notebook.ipynb |
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from aiida import orm
import aiid... | examples/input_prepare_run.ipynb |
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# + [markdown] id="lC45WUtANxZ8"
#
#
# ```
# # 코드로 형식 지정됨
# ```
#
# #StyleGAN... | StyleGAN3-Reactive-Audio-DEMO.ipynb |
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# # Featurestore - Mars21
# ## Feature Store Setup
# <... | feature-store/01-setup.ipynb |
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import sys
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# + [markdown] azdata_cell_guid="baa1b762-f2a9-461f-a126-49f0d3b5e4f0"
... | SQL-Hybrid-Cloud-Toolkit/content/data-portability/import-sql-server.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # MineRa... | Data Analysis/Business Analytics/KPIs/MineRaft/mineraft.ipynb |
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# # ML Pipeline Condensing
# +
#import li... | ML Pipeline Condensinge.ipynb |
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# <b>Ejercicios con Python</b>
#
# <ol>
# <li>
# E... | ElArteDeLaAnalitica.ipynb |
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# ## Configuration for Colab
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import sys
IN_COLAB ... | 05.SAC.ipynb |
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import numpy as np
import pandas as pd
import open... | aneurysm_segmentation3d/notebooks/EDA 2 - Min_Max.ipynb |
# -*- coding: utf-8 -*-
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# # Revisión de código para generación de índice... | test/.ipynb_checkpoints/Rev_Solver_SVD-checkpoint.ipynb |
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# # Gear Detection using Kernel Density Estimation
# ... | gear-detection/GearDetection-kde.ipynb |
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# # Analyzing Textual Data and Social Media
# + [mark... | Chapter09/ch-09.ipynb |
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import unicodecsv
def read_csv(filename):... | 01.InvestigatingData.ipynb |
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import sys
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sys.version
np.__versi... | modules/02-data-organization-and-visualization/03-numpy-array-operations.ipynb |
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# # Summary
# +
import json
import os
imp... | GMC/05_Summary.ipynb |
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# # SQL Queries with Differential Privacy
... | sql/samples/SQL Queries.ipynb |
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# + [markdown] colab_type="text" id="nCc3XZEyG3XV"
# L... | module1/LS_DS_231_assignment.ipynb |
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from nltk.corpus import wordnet as wn
wn.synset('catt... | src/playing with wordnet.ipynb |
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# # Preprocessing linefinder Data for Display in Firef... | data/convertLinefinderData.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | emotion-detection/01.02-spectrograms-to-TFRecord.ipynb |
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# # Setup, matplotlib inline, automatically re... | 3.4 - RF - PNU Random Search.ipynb |
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import sys,os
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pip --version
# %%capture
pip install prometheus-api-... | alerts_collector.ipynb |
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# import common libraries
import rasterio
import panda... | ExampleData.ipynb |
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# + [markdown] id="GzvkKmYmqvR9" colab_type="text"
# #... | seminar09-embeddings/seminar_pytorch.ipynb |
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import requests
import json
url_book = 'https://a... | test_juptyer/douban.ipynb |
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# + [markdown] slideshow={... | Notebooks/need_for_speed.ipynb |
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import matplotlib.pyplot as plt
import numpy as np... | examples/multi_armed_bandit.ipynb |
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# + id="uuxjqh_ZBU62" colab_type="code" colab={"base_uri": "https://localhost... | Reinforcement_Learning/Week_05/05_Importance_Sampling_Random_TD_Windy_Gridworld.ipynb |
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# # Tutorial 04: Visualizing Experiment Results
# Thi... | tutorials/tutorial04_visualize.ipynb |
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# This is an interactive notebook to demonstrate the b... | signal_detection/SignalDetection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Kristine_Wang_LS_DS_231_assignment.ipynb |
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# # Generating Clinical output
# +
""" Generates Matr... | HEGP Generating Study output.ipynb |
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# <h1>Machine learning using Regression</h1... | Week 11 - Machine Learning With Python I/machine_learning_using_regression.ipynb |
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# + active=""
# 说明：
# 我们有一个[0，1，...，N-1]的permutati... | Array/0922/775. Global and Local Inversions.ipynb |
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# # Early stopping in polynomial regression
#
# I was ... | regularization/polynomial_regression.ipynb |
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import requests
publications = [{'abstract': 'The hea... | notebooks/ClassifyBSSO.ipynb |
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# +
import torch
import matplotlib.pyplot as plt
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# ### Accelerometer Logger Server
#
# This notebook al... | server/server.ipynb |
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# <a id="toc"></a>
# # Table of Contents
# 1. [Import ... | notebooks/gwd-resize-images-bboxes.ipynb |
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# In this notebook we will use the same Cython code as... | notebooks/45-chemical-kinetics-cython-vode.ipynb |
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from qiskit import *
from qiskit.tools.visualization i... | QX07-DeutschAlgorithm-main/QX07-DeutschAlgorithm-main/QX07-DeutschAlgorithm.ipynb |
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# ### Problem at Hand
# - Find a real valued "x" such... | Solve for X.ipynb |
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# # Custom Array Cabling Layout Example
# ## Dudgeon W... | examples/custom_array_layout.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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li = [1,2,"Pramit",9,10,11,"Pritam"]
li
for i in ra... | 01.Python-Basics/08. Arrays and List/03.Looping-on-lists.ipynb |
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a = 5
if a == 5:
print("a 5'e eşit")
else:
pr... | E010/E010 - if else elif.ipynb |
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# ## Loading preprosed data
LEVEL="Level_1"
import n... | notebooks/enzyme_GAN/WGAN.ipynb |
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# # Lecture 5 - 28.06.2021
#
# # Exercise 1: Calculati... | notebooks/2021_06_28_Lecture_5.ipynb |
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# # 04 Setting the initial SoC
# Setting the initial ... | docs/examples/04 Initial SoC.ipynb |
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from __future__ import print_function, division
i... | nsfg_validation/validate2015data.ipynb |
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# # GenePattern Notebook Tutorial
#
# ## Introduc... | GenePattern Notebook Tutorial/GenePattern Notebook Tutorial.ipynb |
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# # LeNet and FCLeNet Classifiers
# ## Loading and pr... | lenet_and_fclenet_classifiers.ipynb |
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import csv
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import matplotlib.pyplot a... | notebooks/word2vec_model.ipynb |
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# default_exp
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#hide
#all_slow
... | 03_oneDim_posterior_results.ipynb |
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# # Custom SVI Objectives
#
# Pyro provides support fo... | examples/custom_objectives.ipynb |
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# + [markdown] _uuid="8f2839f25d086af736a60e9eeb907d3b... | titanic_sklearn.ipynb |
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# # Final Remarks
#
# In this tutorial we took an appr... | hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/Final_Remarks.ipynb |
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from haven import haven_jupyter as hj
from haven ... | template/results_haven.ipynb |
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# ### This notebook has the following Notebooks as ref... | 04-tf-residual-network-on-select-features-inference.ipynb |
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import ngram
import pandas as pd
import numpy as np
im... | Gradient Boosting/generateFeatures.ipynb |
# + [markdown]
"""
850-hPa Geopotential Heights, Temperature, and Winds
====================================================
Classic 850-hPa with Geopotential Heights, Temperature, and Winds
This example uses example data from the GFS analysis for 12 UTC 26
October 2010 and uses xarray as the main read source with us... | pages/gallery/850hPa_TMPC_Winds.ipynb |
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# # News Headlines Sentiment
#
# Use the news api to p... | crypto_sentiment.ipynb |
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from nltk.corpus import movie_reviews
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import nltk... | Movie Review System.ipynb |
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# # Notebook 5: Introduction to Logistic Regression,... | jupyter_notebooks/notebooks/NB5_CVII-logreg_SUSY.ipynb |
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from datetime import datetime
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impor... | plots/plot_report.ipynb |
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# ## Deliverable 3. Create a Travel Itinerary Map... | Vacation_Itinerary/Vacation_Itinerary_Challenge_Code.ipynb |
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import datetime
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import pandas a... | studies/aggregation/base/Generate_Loads.ipynb |
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# name: python385jvsc74a57bd0f8148039ad5c73407e53b4effc262e5c1aed3689b... | 06Deep Learning/05Recurrent Neural Networks/03Building RNNs in Python/Env_Prep.ipynb |
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# # Chapter 1. Basic Examples Usi... | python/pluralsight-unit-testing-with-python/ch01-BasicExampleUsingUnittest.ipynb |
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import ipywidgets as widgets
import matplotlib.p... | simulating-generalized-sexual-selection.ipynb |
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# # Lack of evidence for atte... | docs/notebooks/ccneuro2019/results.ipynb |
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# ## Visually comparing different tile providers
# Ge... | Lesson05/Exercise08/exercise08_solution.ipynb |
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# + [markdown] tags=["remove_cell"]
# ## Introduction ... | content/ch-prerequisites/python-and-jupyter-notebooks.ipynb |
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# # Part 3: Analysis
#
#
# In this section, we... | Section 20/Investment Requirement Analysis/Teclov_Investment Requirement Analysis/teclov_3_Analysis.ipynb |
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# !python vidtools/extract_frames.py /media/nitro/hdd/... | Script_video2frames.ipynb |
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# # Deploy sklearn model to webservice endpoint
#
... | notebooks/sklearn/deploy-diabetes.ipynb |
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# # Welcome to pyRT - The Python Raytracer
#
# ## ht... | test-features.ipynb |
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# # Trend based with adjusting
# This strategy uses p... | strategy.ipynb |
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# # Making Multipanel plots with matplotlib
# First, ... | test_matplotlib_multipanel_figures.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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im... | notebooks/metrics/new_kpt_metrics.ipynb |
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# # Ordinary Differential Equation
#
# > <NAME>
# > ... | notebooks/OrdinaryDifferentialEquation.ipynb |
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# [Climbing Stairs](https://leetcode.com/problems/clim... | Algorithm/BlankBoard/Python/DynamicProgramming.ipynb |
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# # Learning Deep Generative Models of Graph
# Thi... | GenerativeGraph.ipynb |