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# + [markdown] papermill={"duration": 0.07... | reports/c9.0-mc-deploy-2022-03-16T20:56:33.ipynb |
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# # pandapower WLS State Estimation
# This is an intro... | tutorials/state_estimation.ipynb |
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# + [markdown] id="GFmthnDoq6j6"
# #Taylor Series Expansion with Python from ... | Lab9/TaylorSymPy.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west... | chapter02/01-hello_world.ipynb |
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# # Solving MDPs: Linear Programming
# 
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# # Mxnet BYOM: Train loc... | under_development/mxnet_mnist_byom/mxnet_mnist.ipynb |
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# ## Portfolio Exercise: Starbucks
# <br>
#
# <img src... | portfolio_exercises/Experiments/Starbucks.ipynb |
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import glo... | notebooks/misc/Irony.ipynb |
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# `ApJdataFrames` McClure
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# `Title`: THE EVOLUTI... | notebooks/McClure2010.ipynb |
# -*- coding: utf-8 -*-
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# Helpful packages for wor... | introductory-tutorials/intro-to-julia/long-version/050 Compressing an Image.ipynb |
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import time
start= time.time()
from PIL import Image... | Task 1/.ipynb_checkpoints/Dijsktra Case2 Path better1.4-checkpoint.ipynb |
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#Загружаем необходимые библиотеки
import n... | app.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
#... | week3/linear_regression.ipynb |
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# In This notebook we utilize the model previously cre... | model_prediction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Covid19_death_prediction.ipynb |
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# # Python - Object... | novice/01-04/01-04_Latihan-Python - Object Oriented.ipynb |
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from astropy.io import fits
from astropy.wcs impor... | rebuild_dataset/crop_resaved-wo_sz.ipynb |
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# # Distributed Neural Networ... | reinforcement_learning/rl_network_compression_ray_custom/rl_network_compression_ray_custom.ipynb |
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#The goal is to do a search on Amazon and download... | .ipynb_checkpoints/Download images of an Amazon search-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <h1... | mfds-nm-05.ipynb |
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# %matplotlib inline
# %load_ext zipline
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# %%zipl... | zipline/examples/buyapple.ipynb |
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# # Test Coffea
#
# This will test Coffea to ... | notebooks/atlas-demo-coffea.ipynb |
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from splinter import Browser
from bs4 import Beautiful... | Missions_to_Mars/.ipynb_checkpoints/mission_to_mars-checkpoint.ipynb |
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total_list = []
while True:
question = input("질문을 ... | QA.ipynb |
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# # Welcome to nbdev
#
# > Create delightful python pr... | nbs/index.ipynb |
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# # Neural networks with PyTorch
#
# Deep learning net... | notebooks/Introduction to Pytorch.ipynb |
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# # Kaggle House Prices Contest
# ### import all pack... | house prices kaggle.ipynb |
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# ### Optimizing RNN using Genetic Algorithm
# #### ... | Genetic-Algorithm-RNN.ipynb |
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# + _cell_guid="992dfd65-f2ec-486c-8ec5-7df93a068664" ... | WSDM - KKBox's Churn Prediction Challenge/Size Reduction, Merge and features.ipynb |
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# # Project 2: Model Project
# **Name:** <NAME> (pvw581) // Spring Semester 2... | modelproject/modelproject.ipynb |
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# # **Loading and initial ... | day3.ipynb |
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# <h1>Table... | app/notebooks/store_face_features_locally.ipynb |
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# # Structural Covariance Network Analysis
#
# `scona`... | tutorials/introductory_tutorial.ipynb |
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# # Attention on MNIST (Saliency and grad-CAM)
# Lets... | examples/mnist/attention.ipynb |
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# ## Notebook 8:
#
# This is an IPython notebook. Mos... | emp_nb_Barnacles.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 11_enero.ipynb |
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# # Estimating molecular volumes to aid in pow... | _notebooks/2021-11-10-Hofcalc.ipynb |
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import pyspark.sql
import pyspark.sql.functions as sf
... | spark-training/spark-python/jupyter-advanced-pivoting/Pivoting - Full.ipynb |
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import cv2
import glob
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im... | Live Face Recognition.ipynb |
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# # Hello, Tensor World... | Lesson16-Intro to TensorFlow/HelloWorld.ipynb |
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# hash: 08284c7b8df3c43eacdc0... | Demo/w4/VolumeRendering.ipynb |
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import torch
import torchvision
from PIL ... | data/CityScapes/.ipynb_checkpoints/convert Image Mask-checkpoint.ipynb |
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# # Reading image files
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import os
impo... | notebooks/reading_images.ipynb |
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# ## Tacotron 2 inference code
# Edit the variables *... | .ipynb_checkpoints/inference-checkpoint.ipynb |
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# ## Supplementary Script 1: Basic phylogenetic analys... | Supplementary_Script_1.ipynb |
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# # Housing Price Prediction
# ##### Input Features - ... | House-Price-Prediction.ipynb |
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impor... | notebooks/training-data-processing/select_parcels.ipynb |
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# # NumPy Array Element Selection
import numpy as np
... | jupyter_conda/05_Numpy_SelectElements.ipynb |
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# ### PPP Calculation of Csh, Total Sandstone Porosi... | Calculation of Csh, Total Sandstone Porosity, Sw in Payzone.ipynb |
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# # Format DataFrame
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from skl... | examples/sklearn_examples/classification.ipynb |
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import os
import folium
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import json... | python_dashboard/caf_insee_visualization.ipynb |
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# + id="u__kG-T18Dlg"
from numpy import *
from scipy.s... | A4/Code.ipynb |
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variados = ['Rubens', ('Engenheiro', 10), {'Engenh... | Python/exercicios_DSA/exercicios/ex009.ipynb |
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# # How to weaponize the randomness of k-means
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# ## ... | Weaponizing the randomness of k-means.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-how-to-use-estimatorstep.ipynb |
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# # Demo 3 : Data Modeling, Creating a Table with Apac... | 5-data-modeling/5-3-data-modeling_apache-cassandra.ipynb |
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# ### Ch15 Figure1
# +
# They gave out customer coupo... | ch15_fig1.ipynb |
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# # Talking About, Talking About I:
# Machine Learning... | Session7/Day5/TalkingAboutTalkingAbout.ipynb |
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def water_level_correction(width_footing, depth_footin... | notebooks/water_correction.ipynb |
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# # Getting Started
# ## Python Installation
... | notebooks/00_Getting_Started.ipynb |
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#### import libraries ############################... | w2v_k_means_tfidf.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # Colecc... | colecciones_avanzadas/00_colecciones_avanzadas.ipynb |
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# <b>Ejercicios con Python</b>
#
# <ol>
# <li>
# E... | ElArteDeLaAnalitica.ipynb |
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import pandas as... | 1/.ipynb_checkpoints/main-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import matplot... | 2 Football Transfer/Project2_V2.ipynb |
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# # SeCaPr - Sequence Capture Processor
# A computatio... | docs/notebook/.ipynb_checkpoints/main_doc-checkpoint.ipynb |
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# # Boolean Generator
# This notebook will show how to... | boards/Pynq-Z2/logictools/notebooks/boolean_generator.ipynb |
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# # **Using the RDP Classifier to add taxonomic classi... | code/RDPclassifier.ipynb |
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import pandas as pd
import numpy as np
import pydeck a... | Data_Visualization/GPS_PYDECK.ipynb |
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# + id="O2aBT2GeQhb_"
import plotly.express as px
import pandas as pd
# + co... | notebooks/dia_dos.ipynb |
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# ## Image pyramids
#
# Take a look at how downsamplin... | 4. Feature Vectors/Image Pyramids.ipynb |
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# ### Comparison of the GOES/XRS response... | xrs_compare_tresp.ipynb |
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# +
import requests
from bs4 import BeautifulSoup
impo... | notebooks/01_webCrawler.ipynb |
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# # Python Sequitur (Nevill-Manning) algorithm
# For ... | Python Sequitur Algorithms.ipynb |
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# + id="K9MWVyjeB-HZ" executionInfo={"status": "ok", "timestamp": 16244514151... | 5. Feature Engineering/2. Outlier-Treatment.ipynb |
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# ### Named tuples
# + active=""
# namedtuple is a fu... | named_tuples.ipynb |
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# [![AWS Data Wrangler](_static/logo.png "AWS Data Wra... | tutorials/021 - Global Configurations.ipynb |
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import pandas as pd
import requests
from bs4 import Be... | notebooks-scrappers/CDC-cases-in-US.ipynb |
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# + [markdown] id="HHsuQMMJyms4"
# # HS RDF HydroShare... | docs/examples/Basic_Operations.ipynb |
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import requests
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from tkinter import *
fr... | Projeto_Final/Untitled.ipynb |
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# # mapping-challenge-mask_rcnn-training
# ![CrowdAI-L... | Training.ipynb |
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impo... | meteo_w_geo.ipynb |
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# # Cleaning and preparing MoMA datasets for u... | moma_data/data-prep.ipynb |
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# # defaultdict of fixed-length buffers
from ... | python/defaultdict-of-fixed-length-buffers.ipynb |
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# # Cloud Tools - Firebase
import os
import sys
from ... | examples/cloud_tools - Firebase.ipynb |
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# hide
# %load_ext autoreload
# %autoreloa... | 02_Tutorial.ipynb |
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# # Multiple Subplots
# Sometimes it is helpful to co... | week4/day4/theory/matplotplib/2_matplotlib/8_Multiple-Subplots.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | cases/1d_burgers_time_rare_fan.ipynb |
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# # * Visualizing of genetic similarity with Lightning... | scala/graphx.ipynb |
# -*- coding: utf-8 -*-
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# # Rigid Body Work-Precis... | notebook/NonStiffODE/RigidBody_wpd.ipynb |
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import numpy as np
a = np.arange(10)
type(a)
from num... | chapter3/section3.1_numpy_demo.ipynb |
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# # Homework 2: Stanford Sentiment Treebank
__author_... | hw2_sst.ipynb |
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from keras.models import Sequential
from keras.layers ... | CNN.ipynb |
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# # Data Gathering and Data Wrangling
# Importing Nec... | Data Gathering and Data Wrangling.ipynb |
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# + [markdown] id="SE8ipjHXO_F3" colab_type="text"
# ### Import libraries
# ... | LRCN_(CNN_LSTM)_two_digit_mnist.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # TP Den... | MServajean/TP_NOTE/jupiter_epellegrin_tp.ipynb |
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# # Support Vector Classifier Modeling
# +
# import l... | notebooks/09-Skellet0r-svc.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | 02-Basic-Python-Syntax.ipynb |
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